Mengjie Zhang
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New Zealand computer science professor
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Computer Science
Mengjie Zhang's Degrees
- PhD Computer Science University of Auckland
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(Suggest an Edit or Addition)Mengjie Zhang's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- A Survey on Evolutionary Computation Approaches to Feature Selection (2016) (1096)
- Particle Swarm Optimization for Feature Selection in Classification: A Multi-Objective Approach (2013) (897)
- Deep Reconstruction-Classification Networks for Unsupervised Domain Adaptation (2016) (689)
- Domain Generalization for Object Recognition with Multi-task Autoencoders (2015) (502)
- Particle swarm optimisation for feature selection in classification: Novel initialisation and updating mechanisms (2014) (467)
- Automatically Designing CNN Architectures Using the Genetic Algorithm for Image Classification (2018) (367)
- Evolving Deep Convolutional Neural Networks for Image Classification (2017) (364)
- Scatter Component Analysis: A Unified Framework for Domain Adaptation and Domain Generalization (2015) (328)
- Domain Adaptive Neural Networks for Object Recognition (2014) (305)
- Automated Design of Production Scheduling Heuristics: A Review (2016) (289)
- Differential evolution for filter feature selection based on information theory and feature ranking (2018) (236)
- Pareto front feature selection based on artificial bee colony optimization (2018) (226)
- Cooperative coevolution of Elman recurrent neural networks for chaotic time series prediction (2012) (224)
- Evolving Diverse Ensembles Using Genetic Programming for Classification With Unbalanced Data (2013) (205)
- Automatic Design of Scheduling Policies for Dynamic Multi-objective Job Shop Scheduling via Cooperative Coevolution Genetic Programming (2014) (205)
- A Computational Study of Representations in Genetic Programming to Evolve Dispatching Rules for the Job Shop Scheduling Problem (2013) (179)
- Self-Adaptive Particle Swarm Optimization for Large-Scale Feature Selection in Classification (2019) (173)
- A Domain-Independent Window Approach to Multiclass Object Detection Using Genetic Programming (2003) (160)
- A survey on swarm intelligence approaches to feature selection in data mining (2020) (148)
- Genetic programming for production scheduling: a survey with a unified framework (2017) (148)
- Genetic programming for feature construction and selection in classification on high-dimensional data (2016) (147)
- Binary particle swarm optimisation for feature selection: A filter based approach (2012) (144)
- A binary ABC algorithm based on advanced similarity scheme for feature selection (2015) (140)
- Completely Automated CNN Architecture Design Based on Blocks (2020) (129)
- Reusing Building Blocks of Extracted Knowledge to Solve Complex, Large-Scale Boolean Problems (2014) (127)
- A Filter Approach to Multiple Feature Construction for Symbolic Learning Classifiers Using Genetic Programming (2012) (124)
- A survey on evolutionary machine learning (2019) (123)
- Variable-Length Particle Swarm Optimization for Feature Selection on High-Dimensional Classification (2019) (122)
- A Survey on Evolutionary Neural Architecture Search (2020) (121)
- Genetic Programming for Multiple Class Object Detection (1999) (120)
- Evolving Deep Convolutional Neural Networks by Variable-Length Particle Swarm Optimization for Image Classification (2018) (120)
- A New Representation in PSO for Discretization-Based Feature Selection (2018) (112)
- Automatic Programming via Iterated Local Search for Dynamic Job Shop Scheduling (2015) (112)
- Multiclass Object Classification Using Genetic Programming (2004) (100)
- Developing New Fitness Functions in Genetic Programming for Classification With Unbalanced Data (2012) (99)
- A multi-objective particle swarm optimisation for filter-based feature selection in classification problems (2012) (94)
- A Particle Swarm Optimization-Based Flexible Convolutional Autoencoder for Image Classification (2017) (93)
- Feature Selection to Improve Generalization of Genetic Programming for High-Dimensional Symbolic Regression (2017) (90)
- Multi-objective particle swarm optimisation (PSO) for feature selection (2012) (90)
- Cross-Domain Reuse of Extracted Knowledge in Genetic Programming for Image Classification (2017) (84)
- Surrogate-Assisted Genetic Programming With Simplified Models for Automated Design of Dispatching Rules (2017) (84)
- New fitness functions in binary particle swarm optimisation for feature selection (2012) (80)
- Using Gaussian distribution to construct fitness functions in genetic programming for multiclass object classification (2006) (79)
- Automatically Evolving Rotation-Invariant Texture Image Descriptors by Genetic Programming (2017) (76)
- Surrogate-Assisted Evolutionary Deep Learning Using an End-to-End Random Forest-Based Performance Predictor (2020) (71)
- A survey on feature selection approaches for clustering (2020) (69)
- Evolving Scheduling Heuristics via Genetic Programming With Feature Selection in Dynamic Flexible Job-Shop Scheduling (2020) (68)
- Reusing Genetic Programming for Ensemble Selection in Classification of Unbalanced Data (2014) (68)
- Fitness Functions in Genetic Programming for Classification with Unbalanced Data (2007) (67)
- An investigation of ensemble combination schemes for genetic programming based hyper-heuristic approaches to dynamic job shop scheduling (2018) (67)
- A multi-objective artificial bee colony approach to feature selection using fuzzy mutual information (2015) (63)
- A New Two-Stage Evolutionary Algorithm for Many-Objective Optimization (2019) (60)
- Two-Tier genetic programming: towards raw pixel-based image classification (2012) (59)
- Multi-objective Feature Selection in Classification: A Differential Evolution Approach (2014) (56)
- An Efficient Feature Selection Algorithm for Evolving Job Shop Scheduling Rules With Genetic Programming (2017) (55)
- Multi-objective Evolutionary Algorithms for filter Based Feature Selection in Classification (2013) (54)
- Binary PSO and Rough Set Theory for Feature Selection: a Multi-objective filter Based Approach (2014) (54)
- A New Crossover Operator in Genetic Programming for Object Classification (2007) (54)
- A domain independent Genetic Programming approach to automatic feature extraction for image classification (2011) (54)
- A novel particle swarm optimisation approach to detecting continuous, thin and smooth edges in noisy images (2013) (53)
- A Comprehensive Comparison on Evolutionary Feature Selection Approaches to Classification (2015) (53)
- Classification Strategies for Image Classification in Genetic Programming (2003) (53)
- An adaptive genetic programming approach to QoS-aware web services composition (2013) (52)
- Pareto front feature selection: using genetic programming to explore feature space (2009) (52)
- Learning iterative dispatching rules for job shop scheduling with genetic programming (2013) (52)
- Low-Level Feature Extraction for Edge Detection Using Genetic Programming (2014) (52)
- Using Genetic Programming for Multiclass Classification by Simultaneously Solving Component Binary Classification Problems (2005) (51)
- Genetic Programming for Classification with Unbalanced Data (2010) (50)
- Evolving optimum populations with XCS classifier systems (2012) (50)
- Particle Swarm Optimization based Adaboost for face detection (2009) (50)
- Genetic programming for multiple-feature construction on high-dimensional classification (2019) (50)
- Improved binary particle swarm optimization for feature selection with new initialization and search space reduction strategies (2021) (48)
- Automated heuristic design using genetic programming hyper-heuristic for uncertain capacitated arc routing problem (2017) (48)
- Evolving deep neural networks by multi-objective particle swarm optimization for image classification (2019) (47)
- Novel Initialisation and Updating Mechanisms in PSO for Feature Selection in Classification (2013) (47)
- Dynamic Multi-objective Job Shop Scheduling: A Genetic Programming Approach (2013) (46)
- Hybrid evolutionary computation methods for quay crane scheduling problems (2013) (46)
- A Hybrid Differential Evolution Approach to Designing Deep Convolutional Neural Networks for Image Classification (2018) (46)
- Improved PSO for Feature Selection on High-Dimensional Datasets (2014) (46)
- Multiple Reference Points-Based Decomposition for Multiobjective Feature Selection in Classification: Static and Dynamic Mechanisms (2020) (45)
- Filter based backward elimination in wrapper based PSO for feature selection in classification (2014) (45)
- Multiple feature construction for effective biomarker identification and classification using genetic programming (2014) (45)
- Gaussian Based Particle Swarm Optimisation and Statistical Clustering for Feature Selection (2014) (45)
- Algebraic simplification of GP programs during evolution (2006) (45)
- Evolving "less-myopic" scheduling rules for dynamic job shop scheduling with genetic programming (2014) (45)
- Feature Construction and Dimension Reduction Using Genetic Programming (2007) (45)
- Genetic Programming with Gradient Descent Search for Multiclass Object Classification (2004) (44)
- A performance study on synchronicity and neighborhood size in particle swarm optimization (2013) (43)
- A New Binary Particle Swarm Optimization Approach: Momentum and Dynamic Balance Between Exploration and Exploitation (2021) (42)
- Feature Selection in Evolving Job Shop Dispatching Rules with Genetic Programming (2016) (42)
- On the issue of separability for problem decomposition in cooperative neuro-evolution (2012) (42)
- Genetic programming for medical classification: a program simplification approach (2008) (42)
- Multi-objective feature selection using hybridization of a genetic algorithm and direct multisearch for key quality characteristic selection (2020) (42)
- Parent Selection Pressure Auto-Tuning for Tournament Selection in Genetic Programming (2013) (42)
- Keypoints Detection and Feature Extraction: A Dynamic Genetic Programming Approach for Evolving Rotation-Invariant Texture Image Descriptors (2017) (41)
- Pixel Statistics and False Alarm Area in Genetic Programming for Object Detection (2003) (41)
- A two-stage genetic programming hyper-heuristic approach with feature selection for dynamic flexible job shop scheduling (2019) (40)
- Evolving Ensembles of Dispatching Rules Using Genetic Programming for Job Shop Scheduling (2015) (39)
- Genetic Programming for Region Detection, Feature Extraction, Feature Construction and Classification in Image Data (2016) (38)
- Multiobjective Multitasking Optimization Based on Incremental Learning (2020) (38)
- Surrogate-Assisted Evolutionary Multitask Genetic Programming for Dynamic Flexible Job Shop Scheduling (2021) (38)
- Genetic Programming for Feature Subset Ranking in Binary Classification Problems (2009) (38)
- Image descriptor: A genetic programming approach to multiclass texture classification (2015) (38)
- Population statistics for particle swarm optimization: Resampling methods in noisy optimization problems (2014) (38)
- New mechanism for archive maintenance in PSO-based multi-objective feature selection (2016) (38)
- A Hybrid Genetic Programming Algorithm for Automated Design of Dispatching Rules (2019) (37)
- Genetic Programming for Evolving Due-Date Assignment Models in Job Shop Environments (2014) (37)
- A PSO based hybrid feature selection algorithm for high-dimensional classification (2016) (37)
- Genetic programming for QoS-aware web service composition and selection (2016) (36)
- Genetic programming for edge detection: A global approach (2011) (36)
- Enhanced feature selection for biomarker discovery in LC-MS data using GP (2013) (36)
- Many-objective genetic programming for job-shop scheduling (2016) (36)
- An Evolutionary Multitasking-Based Feature Selection Method for High-Dimensional Classification (2020) (35)
- A Multi-objective Feature Selection Approach Based on Binary PSO and Rough Set Theory (2013) (35)
- Overview of Particle Swarm Optimisation for Feature Selection in Classification (2014) (35)
- Particle swarm optimisation for feature selection: A hybrid filter-wrapper approach (2015) (35)
- Particle Swarm Optimisation and Statistical Clustering for Feature Selection (2013) (35)
- Evolutionary Neural Architecture Search for High-Dimensional Skip-Connection Structures on DenseNet Style Networks (2021) (35)
- Genetic programming hyper-heuristic for multi-vehicle uncertain capacitated arc routing problem (2018) (34)
- Generalisation and domain adaptation in GP with gradient descent for symbolic regression (2015) (34)
- Encoding subcomponents in cooperative co-evolutionary recurrent neural networks (2011) (34)
- A new homogeneity-based approach to edge detection using PSO (2009) (33)
- Extending learning classifier system with cyclic graphs for scalability on complex, large-scale boolean problems (2013) (33)
- An Experimental Study on Hyper-parameter Optimization for Stacked Auto-Encoders (2018) (33)
- A Bilevel Ant Colony Optimization Algorithm for Capacitated Electric Vehicle Routing Problem (2021) (33)
- Improving performance of classification on incomplete data using feature selection and clustering (2018) (32)
- Extracting image features for classification by two-tier genetic programming (2012) (32)
- Dimensionality reduction in face detection: A genetic programming approach (2009) (32)
- Improving Generalization of Genetic Programming for Symbolic Regression With Angle-Driven Geometric Semantic Operators (2019) (32)
- A Hybrid Approach Using Genetic Programming and Greedy Search for QoS-Aware Web Service Composition (2015) (32)
- Evolving ensembles in multi-objective genetic programming for classification with unbalanced data (2011) (32)
- XCSR with Computed Continuous Action (2012) (31)
- Investigation on particle swarm optimisation for feature selection on high-dimensional data: local search and selection bias (2016) (31)
- A Dimension Reduction Approach to Classification Based on Particle Swarm Optimisation and Rough Set Theory (2012) (31)
- Genetic Programming with Multi-tree Representation for Dynamic Flexible Job Shop Scheduling (2018) (31)
- A Divide-and-Conquer-Based Ensemble Classifier Learning by Means of Many-Objective Optimization (2018) (31)
- Particle Swarm optimisation for Evolving Deep Neural Networks for Image Classification by Evolving and Stacking Transferable Blocks (2019) (31)
- Learning Models for English Speech Recognition (2004) (30)
- A Predictive-Reactive Approach with Genetic Programming and Cooperative Coevolution for the Uncertain Capacitated Arc Routing Problem (2020) (30)
- A graph-based Particle Swarm Optimisation approach to QoS-aware web service composition and selection (2014) (30)
- Evolving heuristics for Dynamic Vehicle Routing with Time Windows using genetic programming (2017) (29)
- An effective and efficient approach to classification with incomplete data (2018) (29)
- A genetic programming based hyper-heuristic approach for combinatorial optimisation (2011) (29)
- Image Segmentation: A Survey of Methods Based on Evolutionary Computation (2014) (29)
- A coevolution genetic programming method to evolve scheduling policies for dynamic multi-objective job shop scheduling problems (2012) (29)
- Multitask Genetic Programming-Based Generative Hyperheuristics: A Case Study in Dynamic Scheduling (2021) (29)
- Random Asynchronous PSO (2011) (29)
- PSO and Statistical Clustering for Feature Selection: A New Representation (2014) (29)
- Genetic Programming Hyper-Heuristic with Cooperative Coevolution for Dynamic Flexible Job Shop Scheduling (2018) (29)
- Collaborative Multifidelity-Based Surrogate Models for Genetic Programming in Dynamic Flexible Job Shop Scheduling (2021) (28)
- An Automatic Feature Extraction Approach to Image Classification Using Genetic Programming (2018) (28)
- Single Feature Ranking and Binary Particle Swarm Optimisation Based Feature Subset Ranking for Feature Selection (2012) (28)
- An archive based particle swarm optimisation for feature selection in classification (2014) (28)
- Numerical simplification for bloat control and analysis of building blocks in genetic programming (2009) (28)
- Probability Based Genetic Programming for Multiclass Object Classification (2004) (28)
- An Encoding Scheme for Cooperative Coevolutionary Feedforward Neural Networks (2010) (27)
- Particle swarm optimisation for outlier detection (2010) (27)
- Genetic programming for order acceptance and scheduling (2013) (27)
- Evolving Dispatching Rules for Multi-objective Dynamic Flexible Job Shop Scheduling via Genetic Programming Hyper-heuristics (2019) (27)
- Extracting and using building blocks of knowledge in learning classifier systems (2012) (27)
- Gaussian Transformation Based Representation in Particle Swarm Optimisation for Feature Selection (2015) (27)
- Genetic Programming With a New Representation to Automatically Learn Features and Evolve Ensembles for Image Classification (2020) (27)
- Novel ensemble genetic programming hyper-heuristics for uncertain capacitated arc routing problem (2019) (26)
- Genetic Programming Hyper-Heuristics with Vehicle Collaboration for Uncertain Capacitated Arc Routing Problems (2019) (26)
- Evolutionary Multi-Objective Optimization for Web Service Location Allocation Problem (2018) (26)
- What's inside the black-box?: a genetic programming method for interpreting complex machine learning models (2019) (26)
- Another investigation on tournament selection: modelling and visualisation (2007) (25)
- Multiple Imputation for Missing Data Using Genetic Programming (2015) (25)
- Differential evolution (DE) for multi-objective feature selection in classification (2014) (25)
- Multiple feature construction in classification on high-dimensional data using GP (2016) (25)
- GraphEvol: A Graph Evolution Technique for Web Service Composition (2015) (25)
- Image feature selection using genetic programming for figure-ground segmentation (2017) (25)
- Evolutionary Deep Learning: A Genetic Programming Approach to Image Classification (2018) (25)
- Automatically Evolving CNN Architectures Based on Blocks (2018) (24)
- A performance study on synchronous and asynchronous updates in particle swarm optimization (2011) (24)
- Evolutionary computation for automatic Web service composition: an indirect representation approach (2018) (24)
- Improving Generalisation of Genetic Programming for Symbolic Regression with Structural Risk Minimisation (2016) (24)
- Crossover-based local search in cooperative co-evolutionary feedforward neural networks (2012) (24)
- Improving performance for classification with incomplete data using wrapper-based feature selection (2016) (24)
- Genetic Programming With Image-Related Operators and a Flexible Program Structure for Feature Learning in Image Classification (2020) (24)
- A Particle Swarm Optimisation Based Multi-objective Filter Approach to Feature Selection for Classification (2012) (24)
- Using Feature Clustering for GP-Based Feature Construction on High-Dimensional Data (2017) (24)
- Population Clustering in Genetic Programming (2006) (24)
- A Genetic Programming approach to distributed QoS-aware web service composition (2014) (23)
- Edge detection using constrained discrete particle swarm optimisation in noisy images (2011) (23)
- A Genetic Programming-Based Imputation Method for Classification with Missing Data (2016) (23)
- A Duplication Analysis-Based Evolutionary Algorithm for Biobjective Feature Selection (2020) (23)
- A Hybrid GA-PSO Method for Evolving Architecture and Short Connections of Deep Convolutional Neural Networks (2019) (23)
- Genetic Programming for Evolving a Front of Interpretable Models for Data Visualization (2020) (23)
- An Effective Feature Learning Approach Using Genetic Programming With Image Descriptors for Image Classification [Research Frontier] (2020) (23)
- Using Numerical Simplification to Control Bloat in Genetic Programming (2008) (23)
- Further investigation on genetic programming with transfer learning for symbolic regression (2016) (22)
- Common subtrees in related problems: A novel transfer learning approach for genetic programming (2017) (22)
- Improving feature ranking for biomarker discovery in proteomics mass spectrometry data using genetic programming (2014) (22)
- Using Particle Swarm Optimisation and the Silhouette Metric to Estimate the Number of Clusters, Select Features, and Perform Clustering (2017) (22)
- Optimal computing budget allocation in particle swarm optimization (2013) (22)
- Genetic programming for evolving figure-ground segmentors from multiple features (2017) (22)
- Particle Swarm Optimisation with genetic operators for feature selection (2017) (22)
- Particle Swarm Optimization for Coverage Maximization and Energy Conservation in Wireless Sensor Networks (2010) (22)
- Genetic programming for image classification with unbalanced data (2009) (22)
- Detecting Stress in Spoken English using Decision Trees and Support Vector Machines (2004) (22)
- Automatic Feature Extraction and Construction Using Genetic Programming for Rotating Machinery Fault Diagnosis (2020) (22)
- An analysis of constructive crossover and selection pressure in genetic programming (2007) (21)
- Learning Reusable Initial Solutions for Multi-objective Order Acceptance and Scheduling Problems with Genetic Programming (2013) (21)
- Binary Image Classification: A Genetic Programming Approach to the Problem of Limited Training Instances (2016) (21)
- Evolving machine-specific dispatching rules for a two-machine job shop using genetic programming (2014) (21)
- Novel chaotic grouping particle swarm optimization with a dynamic regrouping strategy for solving numerical optimization tasks (2020) (21)
- Applying Online Gradient Descent Search to Genetic Programming for Object Recognition (2004) (21)
- Correlation Coefficient-Based Recombinative Guidance for Genetic Programming Hyperheuristics in Dynamic Flexible Job Shop Scheduling (2021) (21)
- Using genetic programming for context-sensitive feature scoring in classification problems (2011) (21)
- Feature Selection and Classification of High Dimensional Mass Spectrometry Data: A Genetic Programming Approach (2013) (21)
- Differentiating between individual class performance in Genetic Programming fitness for classification with unbalanced data (2009) (21)
- Meta-learning and feature ranking using genetic programming for classification: Variable terminal weighting (2011) (20)
- Adapting modularity during learning in cooperative co-evolutionary recurrent neural networks (2012) (20)
- A Genetic Programming Approach to Hyper-Heuristic Feature Selection (2012) (20)
- Genetic Programming for Feature Ranking in Classification Problems (2008) (20)
- Overview of Object Detection and Image Analysis by Means of Genetic Programming Techniques (2007) (20)
- Evolutionary Multitasking for Feature Selection in High-Dimensional Classification via Particle Swarm Optimization (2021) (20)
- Online Program Simplification in Genetic Programming (2006) (20)
- Genetic Programming with Greedy Search for Web Service Composition (2013) (20)
- Genetic programming for job shop scheduling (2018) (20)
- Binary particle swarm optimisation and rough set theory for dimension reduction in classification (2013) (20)
- Evolving Time-Invariant Dispatching Rules in Job Shop Scheduling with Genetic Programming (2017) (20)
- Enhancing genetic programming based hyper-heuristics for dynamic multi-objective job shop scheduling problems (2015) (20)
- A Hybrid GP-KNN Imputation for Symbolic Regression with Missing Values (2018) (20)
- Genetic programming for skin cancer detection in dermoscopic images (2017) (19)
- Improving Relevance Measures Using Genetic Programming (2012) (19)
- Selection Schemes in Surrogate-Assisted Genetic Programming for Job Shop Scheduling (2014) (19)
- Surrogate-Assisted Genetic Programming for Dynamic Flexible Job Shop Scheduling (2018) (19)
- Generating Knowledge-Guided Discriminative Features Using Genetic Programming for Melanoma Detection (2020) (19)
- Learning feature fusion strategies for various image types to detect salient objects (2016) (19)
- Genetic Programming Based Hyper-heuristics for Dynamic Job Shop Scheduling: Cooperative Coevolutionary Approaches (2016) (19)
- A sequential genetic programming method to learn forward construction heuristics for order acceptance and scheduling (2014) (19)
- Genetic Programming for Automatic Global and Local Feature Extraction to Image Classification (2018) (19)
- An Improved Genetic Programming Hyper-Heuristic for the Uncertain Capacitated Arc Routing Problem (2018) (19)
- A performance study on the effects of noise and evaporation in Particle Swarm Optimization (2012) (19)
- Particle Swarm Optimisation with Sequence-Like Indirect Representation for Web Service Composition (2016) (19)
- Domain-independent severely noisy image segmentation via adaptive wavelet shrinkage using particle swarm optimization and fuzzy C-means (2019) (19)
- Linear Genetic Programming for Multi-class Object Classification (2005) (18)
- Dynamic Job Shop Scheduling Under Uncertainty Using Genetic Programming (2017) (18)
- SCHEME: Caching subtrees in genetic programming (2008) (18)
- Multi-Objective Genetic Programming for Classification with Unbalanced Data (2009) (18)
- PSO for feature construction and binary classification (2013) (18)
- Unsupervised Elimination of Redundant Features Using Genetic Programming (2009) (18)
- Genetic Programming for Automatic Stress Detection in Spoken English (2006) (18)
- Multi-Objective Genetic Programming for object detection (2010) (18)
- An automated ensemble learning framework using genetic programming for image classification (2019) (18)
- Multi-objective genetic programming for feature learning in face recognition (2021) (18)
- A Variable Local Search Based Memetic Algorithm for the Load Balancing Problem in Cloud Computing (2016) (18)
- A Differential Evolution Approach to Feature Selection and Instance Selection (2016) (18)
- Detection of continuous, smooth and thin edges in noisy images using constrained particle swarm optimisation (2011) (18)
- A Novel Genetic Programming Algorithm with Knowledge Transfer for Uncertain Capacitated Arc Routing Problem (2019) (18)
- An Adaptive Clipping Approach for Proximal Policy Optimization (2018) (18)
- Genetic Programming with Delayed Routing for Multiobjective Dynamic Flexible Job Shop Scheduling (2020) (18)
- An incremental ensemble classifier learning by means of a rule-based accuracy and diversity comparison (2017) (18)
- An Evolutionary Deep Learning Approach Using Genetic Programming with Convolution Operators for Image Classification (2019) (18)
- Genetic Programming with Embedded Feature Construction for High-Dimensional Symbolic Regression (2017) (17)
- A PSO-Based Reference Point Adaption Method for Genetic Programming Hyper-Heuristic in Many-Objective Job Shop Scheduling (2017) (17)
- Ensemble Learning and Pruning in Multi-Objective Genetic Programming for Classification with Unbalanced Data (2011) (17)
- Resampling in Particle Swarm Optimization (2013) (17)
- A Hybrid GP-Tabu Approach to QoS-Aware Data Intensive Web Service Composition (2014) (17)
- Multiple Imputation and Ensemble Learning for Classification with Incomplete Data (2017) (17)
- Structural Risk Minimization-Driven Genetic Programming for Enhancing Generalization in Symbolic Regression (2019) (17)
- Using Back Propagation Algorithm and Genetic Algorithm to Train and Refine Neural Networks for Object Detection (1999) (17)
- Evolving Reusable Operation-Based Due-Date Assignment Models for Job Shop Scheduling with Genetic Programming (2012) (17)
- Simplex Model Based Evolutionary Algorithm for Dynamic Multi-Objective Optimization (2011) (17)
- Hybrid Particle Swarm Optimisation Algorithms Based on Differential Evolution and Local Search (2010) (17)
- Genetic programming for improving image descriptors generated using the scale-invariant feature transform (2012) (17)
- Effects of static and dynamic topologies in Particle Swarm Optimisation for edge detection in noisy images (2012) (16)
- A Cooperative Coevolution Genetic Programming Hyper-Heuristics Approach for On-Line Resource Allocation in Container-Based Clouds (2020) (16)
- Using unrestricted loops in genetic programming for image classification (2010) (16)
- Genetic programming hyper-heuristic with knowledge transfer for uncertain capacitated arc routing problem (2019) (16)
- People-Centric Evolutionary System for Dynamic Production Scheduling (2019) (16)
- Salient object detection using learning classifiersystems that compute action mappings (2014) (16)
- Soft edge maps from edge detectors evolved by genetic programming (2012) (16)
- A Hybrid Memetic Approach for Fully Automated Multi-Objective Web Service Composition (2018) (16)
- Bare-Bone Particle Swarm Optimisation for Simultaneously Discretising and Selecting Features for High-Dimensional Classification (2016) (16)
- Human-inspired Scaling in Learning Classifier Systems: Case Study on the n-bit Multiplexer Problem Set (2016) (16)
- Genetic programming for detecting target motions (2012) (16)
- Improving generalisation of genetic programming for high-dimensional symbolic regression with feature selection (2016) (16)
- Automatic Selection Pressure Control in Genetic Programming (2006) (15)
- A Domain Independent Approach to 2D Object Detection Based on the Neural and Genetic Paradigms (2000) (15)
- Distribution-based invariant feature construction using genetic programming for edge detection (2015) (15)
- Learning complex, overlapping and niche imbalance Boolean problems using XCS-based classifier systems (2013) (15)
- A New Representation in Genetic Programming for Evolving Dispatching Rules for Dynamic Flexible Job Shop Scheduling (2019) (15)
- Population statistics for particle swarm optimization: Single-evaluation methods in noisy optimization problems (2015) (15)
- Transfer Learning in Genetic Programming Hyper-heuristic for Solving Uncertain Capacitated Arc Routing Problem (2019) (15)
- Improving Object Detection Performance with Genetic Programming (2007) (15)
- A memetic algorithm-based indirect approach to web service composition (2016) (15)
- Particle swarm optimisation representations for simultaneous clustering and feature selection (2016) (15)
- Toward evolving dispatching rules for dynamic job shop scheduling under uncertainty (2017) (14)
- Learning overlapping natured and niche imbalance boolean problems using XCS classifier systems (2013) (14)
- Multiple imputation and genetic programming for classification with incomplete data (2017) (14)
- Program Simplification in Genetic Programming for Object Classification (2005) (14)
- Evolutionary scheduling and combinatorial optimisation: Applications, challenges, and future directions (2016) (14)
- Reusing Extracted Knowledge in Genetic Programming to Solve Complex Texture Image Classification Problems (2016) (14)
- Extending XCS with Cyclic Graphs for Scalability on Complex Boolean Problems (2017) (14)
- Constrained Dimensionally Aware Genetic Programming for Evolving Interpretable Dispatching Rules in Dynamic Job Shop Scheduling (2017) (14)
- Hyper-heuristics, grammatical evolution and the capacitated vehicle routing problem (2014) (14)
- Empirical Analysis of GP Tree-Fragments (2007) (14)
- Evolving Deep Convolutional Variational Autoencoders for Image Classification (2020) (14)
- A new imputation method based on genetic programming and weighted KNN for symbolic regression with incomplete data (2021) (14)
- Learning and Sharing: A Multitask Genetic Programming Approach to Image Feature Learning (2020) (14)
- Detecting data records in semi-structured web sites based on text token clustering (2008) (14)
- Automatic Construction of Invariant Features Using Genetic Programming for Edge Detection (2012) (14)
- Genetic programming for performance improvement and dimensionality reduction of classification problems (2008) (14)
- A Dispatching rule based Genetic Algorithm for Order Acceptance and Scheduling (2015) (14)
- A comprehensive analysis on reusability of GP-evolved job shop dispatching rules (2016) (14)
- Reusing learned functionality in XCS: code fragments with constructed functionality and constructed features (2014) (14)
- Surrogate-Assisted Particle Swarm Optimization for Evolving Variable-Length Transferable Blocks for Image Classification (2020) (14)
- A Graph-Based Encoding for Evolutionary Convolutional Neural Network Architecture Design (2019) (14)
- Genetic Programming for Feature Selection and Feature Construction in Skin Cancer Image Classification (2018) (14)
- Program Size and Pixel Statistics in Genetic Programming for Object Detection (2004) (13)
- Improving edge detection using particle swarm optimisation (2010) (13)
- Enhancing Branch-and-Bound Algorithms for Order Acceptance and Scheduling with Genetic Programming (2014) (13)
- Evaluation of particle swarm optimization based centroid classifier with different distance metrics (2008) (13)
- Bagging and Feature Selection for Classification with Incomplete Data (2017) (13)
- Genetic Programming for Object Detection: Improving Fitness Functions and Optimising Training Data (2006) (13)
- Genetic Programming for Object Detection: a Two-phase Approach with an Improved Fitness Function (2009) (13)
- Genetic Programming and Class-Wise Orthogonal Transformation for Dimension Reduction in Classification Problems (2008) (13)
- F-MOGP: A novel many-objective evolutionary approach to QoS-aware data intensive web service composition (2015) (13)
- A Supervised Figure-Ground Segmentation Method Using Genetic Programming (2015) (13)
- Impacts of sampling strategies in tournament selection for genetic programming (2012) (13)
- Genetic programming for edge detection: a Gaussian-based approach (2016) (13)
- A new image segmentation algorithm based on modified seeded region growing and particle swarm optimization (2013) (13)
- A New Binary Particle Swarm Optimisation Algorithm for Feature Selection (2014) (13)
- How online simplification affects building blocks in genetic programming (2009) (13)
- A Survey of Evolutionary Computation for Web Service Composition: A Technical Perspective (2020) (13)
- Evolution of aesthetically pleasing images without human-in-the-loop (2010) (13)
- Adaptive multi-subswarm optimisation for feature selection on high-dimensional classification (2019) (12)
- Contribution-Based Cooperative Co-Evolution for Nonseparable Large-Scale Problems With Overlapping Subcomponents (2020) (12)
- Guided Subtree Selection for Genetic Operators in Genetic Programming for Dynamic Flexible Job Shop Scheduling (2020) (12)
- Genetic Programming for Multiclass Texture Classification Using a Small Number of Instances (2014) (12)
- A preliminary approach to evolutionary multitasking for dynamic flexible job shop scheduling via genetic programming (2020) (12)
- A GP approach to QoS-aware web service composition including conditional constraints (2015) (12)
- Particle Swarm Optimisation for Feature Selection and Weighting in High-Dimensional Clustering (2018) (12)
- Evolving While-Loop Structures in Genetic Programming for Factorial and Ant Problems (2005) (12)
- Investigating a Machine Breakdown Genetic Programming Approach for Dynamic Job Shop Scheduling (2018) (12)
- Genetic programming for edge detection via balancing individual training images (2012) (12)
- Continuously Evolving Programs in Genetic Programming Using Gradient Descent (2004) (12)
- Contextual-based top-down saliency feature weighting for target detection (2016) (12)
- Improving genetic search in XCS-based classifier systems through understanding the evolvability of classifier rules (2014) (11)
- Transductive Transfer Learning in Genetic Programming for Document Classification (2017) (11)
- Genetic programming for high-dimensional imbalanced classification with a new fitness function and program reuse mechanism (2020) (11)
- Genetic Programming for Production Scheduling: An Evolutionary Learning Approach (2021) (11)
- Parallel Multi-objective Job Shop Scheduling Using Genetic Programming (2016) (11)
- A Particle Swarm Optimization-based Flexible Convolutional Auto-Encoder for Image Classification (2017) (11)
- Effective Exploration for Deep Reinforcement Learning via Bootstrapped Q-Ensembles under Tsallis Entropy Regularization (2018) (11)
- Genetic Programming for Biomarker Detection in Mass Spectrometry Data (2012) (11)
- Geometric Semantic Crossover with an Angle-Aware Mating Scheme in Genetic Programming for Symbolic Regression (2017) (11)
- A memetic particle swarm optimization for constrained multi-objective optimization problems (2011) (11)
- Investigating the Generality of Genetic Programming Based Hyper-heuristic Approach to Dynamic Job Shop Scheduling with Machine Breakdown (2017) (11)
- Automatic feature extraction and image classification using genetic programming (2011) (11)
- Evolutionary algorithms for classification of mammographie densities using local binary patterns and statistical features (2016) (11)
- Genetic Programming for detecting rhythmic stress in spoken English (2008) (11)
- Parallel Linear Genetic Programming (2011) (11)
- Particle Swarm Optimization for Evolving Deep Convolutional Neural Networks for Image Classification: Single- and Multi-Objective Approaches (2020) (11)
- Genetic programming based feature construction for classification with incomplete data (2017) (11)
- Instance based Transfer Learning for Genetic Programming for Symbolic Regression (2019) (11)
- Impact of imputation of missing values on genetic programming based multiple feature construction for classification (2015) (11)
- Can Genetic Programming Do Manifold Learning Too? (2019) (11)
- Modularity adaptation in cooperative coevolution of feedforward neural networks (2011) (11)
- Class Dependent Multiple Feature Construction Using Genetic Programming for High-Dimensional Data (2017) (10)
- Feature selection based on PSO and decision-theoretic rough set model (2013) (10)
- Deception, blindness and disorientation in particle swarm optimization applied to noisy problems (2014) (10)
- GPGC: genetic programming for automatic clustering using a flexible non-hyper-spherical graph-based approach (2017) (10)
- Genetic Programming for Evolving Similarity Functions for Clustering: Representations and Analysis (2019) (10)
- Genetic Programming for Edge Detection Based on Accuracy of Each Training Image (2011) (10)
- Sampling Methods in Genetic Programming for Classification with Unbalanced Data (2010) (10)
- Multi-objective Genetic Programming for Figure-Ground Image Segmentation (2016) (10)
- A genetic programming approach to feature construction for ensemble learning in skin cancer detection (2020) (10)
- Nature-Inspired Algorithms for Real-World Optimization Problems (2015) (10)
- Correlation-Guided Updating Strategy for Feature Selection in Classification With Surrogate-Assisted Particle Swarm Optimization (2022) (10)
- A hybrid discrete particle swarm optimisation method for grid computation scheduling (2014) (10)
- Effects of program simplification on simple building blocks in Genetic Programming (2007) (10)
- Genetic Programming with Rademacher Complexity for Symbolic Regression (2019) (10)
- Improving classification on images by extracting and transferring knowledge in genetic programming (2016) (10)
- Edge and Corner Extraction Using Particle Swarm Optimisation (2010) (10)
- A Wrapper Feature Selection Approach to Classification with Missing Data (2016) (10)
- A Multi-Objective Genetic Programming Hyper-Heuristic Approach to Uncertain Capacitated Arc Routing Problems (2020) (10)
- Evolutionary feature manipulation in data mining/big data (2017) (10)
- Evolving Ensembles of Routing Policies using Genetic Programming for Uncertain Capacitated Arc Routing Problem (2019) (10)
- Learning Weights in Genetic Programs Using Gradient Descent for Object Recognition (2005) (10)
- Can Stochastic Dispatching Rules Evolved by Genetic Programming Hyper-heuristics Help in Dynamic Flexible Job Shop Scheduling? (2019) (10)
- Genetic programming for edge detection using blocks to extract features (2012) (10)
- A Divide-and-Conquer Genetic Programming Algorithm With Ensembles for Image Classification (2021) (10)
- Evolutionary Multitask Optimisation for Dynamic Job Shop Scheduling Using Niched Genetic Programming (2018) (10)
- Human-Interpretable Feature Pattern Classification System Using Learning Classifier Systems (2014) (9)
- New Fitness Functions in Genetic Programming for Classification with High-dimensional Unbalanced Data (2019) (9)
- An analysis of multi-sampled issue and no-replacement tournament selection (2008) (9)
- Parallel linear genetic programming for multi-class classification (2012) (9)
- A Comparison of Classification Strategies in Genetic Programming with Unbalanced Data (2010) (9)
- NEAT for large-scale reinforcement learning through evolutionary feature learning and policy gradient search (2018) (9)
- Fragment-based genetic programming for fully automated multi-objective web service composition (2017) (9)
- Hyper-heuristic Operator Selection and Acceptance Criteria (2015) (9)
- Feature fusion and kernel selective in Inception-v4 network (2022) (9)
- A new GP-based wrapper feature construction approach to classification and biomarker identification (2014) (9)
- Empirical analysis of schemata in Genetic Programming using maximal schemata and MSG (2008) (9)
- Automatically defined functions for learning classifier systems (2011) (9)
- Feature construction in genetic programming hyper-heuristic for dynamic flexible job shop scheduling (2018) (9)
- Figure-ground image segmentation using feature-based multi-objective genetic programming techniques (2019) (9)
- Adaptive charting genetic programming for dynamic flexible job shop scheduling (2018) (9)
- Neural Networks And Genetic Algorithms For Domain Independent Multiclass Object Detection (2004) (9)
- Lightweight Evolution Strategies for Nanoswimmers-oriented In Vivo Computation (2019) (9)
- A differential evolution based feature selection approach using an improved filter criterion (2017) (9)
- Dual-Tree Genetic Programming for Few-Shot Image Classification (2022) (9)
- Rademacher Complexity for Enhancing the Generalization of Genetic Programming for Symbolic Regression (2020) (9)
- Evolving dispatching rules for dynamic Job shop scheduling with uncertain processing times (2017) (9)
- A Multi-tree Genetic Programming Representation for Melanoma Detection Using Local and Global Features (2018) (9)
- A Multitree Genetic Programming Representation for Automatically Evolving Texture Image Descriptors (2017) (9)
- New crossover operators in linear genetic programming for multiclass object classification (2010) (9)
- Genetic Programming for Instance Transfer Learning in Symbolic Regression (2020) (9)
- A Variant Program Structure in Tree-Based Genetic Programming for Multiclass Object Classification (2009) (9)
- Optimizing configuration of neural ensemble network for breast cancer diagnosis (2014) (9)
- Evolutionary computation for feature manipulation: Key challenges and future directions (2016) (8)
- Genetic Programming With Niching for Uncertain Capacitated Arc Routing Problem (2022) (8)
- An Adaptive and Near Parameter-free Evolutionary Computation Approach Towards True Automation in AutoML (2020) (8)
- Feature Construction Using Genetic Programming for Figure-Ground Image Segmentation (2017) (8)
- New Representations in PSO for Feature Construction in Classification (2014) (8)
- Code coverage optimisation in genetic algorithms and particle swarm optimisation for automatic software test data generation (2015) (8)
- Transparent, Online Image Pattern Classification Using a Learning Classifier System (2011) (8)
- Applications of Evolutionary Computation - 18th European Conference, EvoApplications (2014) (8)
- Improving job shop dispatching rules via terminal weighting and adaptive mutation in genetic programming (2016) (8)
- Genetic Programming Hyper-Heuristics with Probabilistic Prototype Tree Knowledge Transfer for Uncertain Capacitated Arc Routing Problems (2020) (8)
- Multi-objective genetic programming for manifold learning: balancing quality and dimensionality (2020) (8)
- Genetic programming for feature extraction and construction in image classification (2022) (8)
- Genetic Programming with Adaptive Search Based on the Frequency of Features for Dynamic Flexible Job Shop Scheduling (2020) (8)
- Reusing Learned Functionality to Address Complex Boolean Functions (2014) (8)
- A Hybrid Particle Swarm Optimisation with Differential Evolution Approach to Image Segmentation (2011) (8)
- Genetic Programming for Multiple Feature Construction in Skin Cancer Image Classification (2019) (8)
- Fuzzy filter cost-sensitive feature selection with differential evolution (2022) (8)
- A PSO-based hyper-heuristic for evolving dispatching rules in job shop scheduling (2017) (8)
- Genetic Programming With Knowledge Transfer and Guided Search for Uncertain Capacitated Arc Routing Problem (2022) (8)
- A Gaussian Filter-Based Feature Learning Approach Using Genetic Programming to Image Classification (2018) (8)
- Hybridisation of Genetic Programming and Nearest Neighbour for classification (2013) (8)
- Multiple reference points MOEA/D for feature selection (2017) (8)
- Accuracy-Based Learning Classifier Systems for Multistep Reinforcement Learning: A Fuzzy Logic Approach to Handling Continuous Inputs and Learning Continuous Actions (2016) (8)
- A Relaxed Approach to Simplification in Genetic Programming (2010) (8)
- A New Modification of Fuzzy C-Means via Particle Swarm Optimization for Noisy Image Segmentation (2016) (8)
- 2019 IEEE Symposium Series on Computational Intelligence (2019) (8)
- Analysis of Building Blocks with Numerical Simplification in Genetic Programming (2010) (8)
- Genetic programming for development of cost-sensitive classifiers for binary high-dimensional unbalanced classification (2020) (8)
- Evolutionary web service composition: A graph-based memetic algorithm (2016) (8)
- Multitasking Genetic Programming for Stochastic Team Orienteering Problem with Time Windows (2019) (8)
- Automated Design of Multipass Heuristics for Resource-Constrained Job Scheduling With Self-Competitive Genetic Programming (2021) (8)
- A Decomposition based Multi-objective Evolutionary Algorithm with ReliefF based Local Search and Solution Repair Mechanism for Feature Selection (2020) (8)
- A Hybrid Evolutionary Computation Approach to Inducing Transfer Classifiers for Domain Adaptation (2020) (8)
- Unsupervised learning for edge detection using Genetic Programming (2014) (7)
- Particle swarm optimisation based AdaBoost for object detection (2011) (7)
- BenchENAS: A Benchmarking Platform for Evolutionary Neural Architecture Search (2021) (7)
- Is the not-sampled issue in tournament selection critical? (2008) (7)
- A Pixel-Based Approach to Recognising Small Objects in Large Pictures Using Neural Networks (1997) (7)
- Multi-View Feature Construction Using Genetic Programming for Rolling Bearing Fault Diagnosis [Application Notes] (2021) (7)
- A PSO Based Adaboost Approach to Object Detection (2008) (7)
- Genetic programming for edge detection using multivariate density (2013) (7)
- Evolving Stochastic Dispatching Rules for Order Acceptance and Scheduling via Genetic Programming (2013) (7)
- Developing a Hyper-Heuristic Using Grammatical Evolution and the Capacitated Vehicle Routing Problem (2014) (7)
- Genetic Programming-Based Simultaneous Feature Selection and Imputation for Symbolic Regression with Incomplete Data (2019) (7)
- Bloat control in genetic programming by evaluating contribution of nodes (2009) (7)
- A supervised feature weighting method for salient object detection using particle swarm optimization (2017) (7)
- A non-specialized ensemble classifier using multi-objective optimization (2020) (7)
- Hessian Complexity Measure for Genetic Programming-Based Imputation Predictor Selection in Symbolic Regression with Incomplete Data (2020) (7)
- Using a small number of training instances in genetic programming for face image classification (2022) (7)
- The Optimized Selection of Base-Classifiers for Ensemble Classification using a Multi-Objective Genetic Algorithm (2018) (7)
- Neural Networks for Scientific Paper Classification (2006) (7)
- Figure-ground image segmentation using genetic programming and feature selection (2016) (7)
- Using Genetic Algorithms to Improve the Accuracy of Object Detection (1999) (7)
- Optimization of Location Allocation of Web Services Using a Modified Non-dominated Sorting Genetic Algorithm (2016) (7)
- Evaporation Mechanisms for Particle Swarm Optimization (2012) (7)
- Population statistics for particle swarm optimization: Hybrid methods in noisy optimization problems (2015) (7)
- Tuning Selection Pressure in Tournament Selection (2009) (7)
- Binary image classification using genetic programming based on local binary patterns (2013) (7)
- Developing Interval-Based Cost-Sensitive Classifiers by Genetic Programming for Binary High-Dimensional Unbalanced Classification [Research Frontier] (2021) (7)
- An Object-Based Genetic Programming Approach for Cropland Field Extraction (2022) (7)
- Genetic programming with transfer learning for texture image classification (2019) (7)
- A One-Shot Learning Approach to Image Classification Using Genetic Programming (2013) (7)
- Generating Redundant Features with Unsupervised Multi-tree Genetic Programming (2020) (7)
- Automatically evolving difficult benchmark feature selection datasets with genetic programming (2018) (6)
- Genetic Programming for Imputation Predictor Selection and Ranking in Symbolic Regression with High-Dimensional Incomplete Data (2019) (6)
- Automatic Design of Convolutional Neural Network Architectures Under Resource Constraints. (2021) (6)
- Genetic programming for automatic skin cancer image classification (2022) (6)
- A HYBRID FILTER-WRAPPER FEATURE SELECTION APPROACH FOR AUTHORSHIP ATTRIBUTION (2019) (6)
- Differential evolution for instance based transfer learning in genetic programming for symbolic regression (2019) (6)
- Solving the forward kinematics of the 3RPR planar parallel manipulator using a hybrid meta-heuristic paradigm (2009) (6)
- A hybrid Genetic Programming approach to feature detection and image classification (2015) (6)
- Learning information extraction patterns from tabular Web pages without manual labelling (2003) (6)
- A Genetic Programming-based Wrapper Imputation Method for Symbolic Regression with Incomplete Data (2019) (6)
- Multi-tree genetic programming for feature construction-based domain adaptation in symbolic regression with incomplete data (2020) (6)
- Data Extraction from Semi-structured Web Pages by Clustering (2006) (6)
- Particle swarm optimization based multi-prototype ensembles (2009) (6)
- Comparison of two methods for computing action values in XCS with code-fragment actions (2013) (6)
- Depth-control strategies for crossover in tree-based genetic programming (2011) (6)
- A Study of Good Predecessor Programs for Reducing Fitness Evaluation Cost in Genetic Programming (2006) (6)
- Looseness Controlled Crossover in GP for Object Recognition (2006) (6)
- New Representations in Genetic Programming for Feature Construction in k-Means Clustering (2017) (6)
- Automatic Construction of Gaussian-Based Edge Detectors Using Genetic Programming (2013) (6)
- Cluster-based Hyper-Heuristic for Large-Scale Vehicle Routing Problem (2020) (6)
- Bayesian genetic programming for edge detection (2019) (6)
- Genetic Programming for New Zealand CPI Inflation Prediction (2007) (6)
- Reference Point Adaption Method for Genetic Programming Hyper-Heuristic in Many-Objective Job Shop Scheduling (2018) (6)
- Instance Selection-Based Surrogate-Assisted Genetic Programming for Feature Learning in Image Classification (2021) (6)
- A Fitness-based Selection Method for Pareto Local Search for Many-Objective Job Shop Scheduling (2020) (6)
- Particle Swarm Optimisation for Feature Selection: A Size-Controlled Approach (2015) (6)
- A memetic framework for cooperative coevolution of recurrent neural networks (2011) (6)
- Directly Constructing Multiple Features for Classification with Missing Data using Genetic Programming with Interval Functions (2016) (6)
- Object Detection Using Neural Networks and Genetic Programming (2008) (6)
- Severely noisy image segmentation via wavelet shrinkage using PSO and Fuzzy C-Means (2016) (6)
- Enhancing Heuristics for Order Acceptance and Scheduling Using Genetic Programming (2014) (6)
- Improving Robustness of Multiple-Objective Genetic Programming for Object Detection (2011) (5)
- Investigating the Correlation Amongst the Objective and Constraints in Gaussian Process-Assisted Highly Constrained Expensive Optimization (2021) (5)
- Compaction for Code Fragment Based Learning Classifier Systems (2016) (5)
- A GPHH with Surrogate-assisted Knowledge Transfer for Uncertain Capacitated Arc Routing Problem (2020) (5)
- Genetic Programming with Noise Sensitivity for Imputation Predictor Selection in Symbolic Regression with Incomplete Data (2020) (5)
- Online Feature-Generation of Code Fragments for XCS to Guide Feature Construction (2019) (5)
- A Two-Stage Genetic Programming Hyper-Heuristic for Uncertain Capacitated Arc Routing Problem (2019) (5)
- Foreground and Background Feature Fusion Using a Convex Hull Based Center Prior for Salient Object Detection (2018) (5)
- A Cost-sensitive Genetic Programming Approach for High-dimensional Unbalanced Classification (2019) (5)
- Genetic Programming Evolved Filters from a Small Number of Instances for Multiclass Texture Classification (2014) (5)
- Evolving Deep Forest with Automatic Feature Extraction for Image Classification Using Genetic Programming (2020) (5)
- Niching Genetic Programming based Hyper-heuristic Approach to Dynamic Job Shop Scheduling: An Investigation into Distance Metrics (2016) (5)
- Genetic Programming with Interval Functions and Ensemble Learning for Classification with Incomplete Data (2018) (5)
- A Single Population Genetic Programming based Ensemble Learning Approach to Job Shop Scheduling (2015) (5)
- XCS-based versus UCS-based feature pattern classification system (2012) (5)
- A GP Approach to QoS-Aware Web Service Composition and Selection (2014) (5)
- Linear Genetic Programming for Multi-class Classification Problems (2005) (5)
- Deep hybrid networks with good out-of-sample object recognition (2014) (5)
- Evolving More Representative Programs with Genetic Programming (2009) (5)
- Centred Weight Initialization in Neural Networks for Object Detection (1999) (5)
- Multitree Genetic Programming With New Operators for Transfer Learning in Symbolic Regression With Incomplete Data (2021) (5)
- Binary PSO for Web Service Location-Allocation (2017) (5)
- Multi-Round Random Subspace Feature Selection for Incomplete Gene Expression Data (2019) (5)
- Learning figure-ground image segmentors by genetic programming (2017) (5)
- A genetic programming approach to distributed execution of data-intensive web service compositions (2016) (5)
- Using Learning Classifier Systems to Learn Stochastic Decision Policies (2015) (5)
- Genetic Programming with Archive for Dynamic Flexible Job Shop Scheduling (2021) (5)
- Adaptive artificial datasets through learning classifier systems for classification tasks (2013) (5)
- A Comparison between Two Evolutionary Hyper-Heuristics for Combinatorial Optimisation (2014) (5)
- Investigation of simplification threshold and noise level of input data in numerical simplification of genetic programs (2010) (5)
- Building Subcomponents in the Cooperative Coevolution Framework for Training Recurrent Neural Networks: Technical Report (2009) (5)
- Genetic Programming-Based Discriminative Feature Learning for Low-Quality Image Classification (2021) (5)
- Genetic programming for edge detection based on figure of merit (2012) (5)
- An analysis of depth of crossover points in tree-based Genetic Programming (2007) (5)
- An Enhanced Genetic Algorithm for Web Service Location-Allocation (2014) (5)
- Investigating Particle Swarm Optimisation Topologies for Edge Detection in Noisy Images (2011) (5)
- Transfer learning: a building block selection mechanism in genetic programming for symbolic regression (2019) (5)
- Improvement of code fragment fitness to guide feature construction in XCS (2019) (5)
- Prediction of detectable peptides in MS data using genetic programming (2014) (5)
- A Two-Stage Swarm Optimizer With Local Search for Water Distribution Network Optimization (2021) (5)
- Hybridising Particle Swarm optimisation with Differential Evolution for Feature Selection in Classification (2020) (4)
- AUC analysis of the pareto-front using multi-objective GP for classification with unbalanced data (2010) (4)
- A Hyperheuristic Based on Dynamic Iterated Local Search (2011) (4)
- Contrastive Learning Assisted-Alignment for Partial Domain Adaptation. (2022) (4)
- An automatic region detection and processing approach in genetic programming for binary image classification (2017) (4)
- Genetic Programming for Preprocessing Tandem Mass Spectra to Improve the Reliability of Peptide Identification (2018) (4)
- A memetic level-based learning swarm optimizer for large-scale water distribution network optimization (2020) (4)
- Automatically extracting features for face classification using multi-objective genetic programming (2020) (4)
- Reuse of program trees in genetic programming with a new fitness function in high-dimensional unbalanced classification (2019) (4)
- Opinion Target Extraction for Short Comments (2012) (4)
- Pixel characteristics based feature extraction approach for roadside object detection (2015) (4)
- Investigation of Brood Size in GP with Brood Recombination Crossover for Object Recognition (2006) (4)
- A Subset Similarity Guided Method for Multi-objective Feature Selection (2016) (4)
- Evolutionary computation and evolutionary deep learning for image analysis, signal processing and pattern recognition (2018) (4)
- Triangular-distribution-based feature construction using Genetic Programming for edge detection (2013) (4)
- Effective Policy Gradient Search for Reinforcement Learning Through NEAT Based Feature Extraction (2017) (4)
- Genetic Programming for Image Recognition: An LGP Approach (2009) (4)
- Geometric Semantic Genetic Programming with Perpendicular Crossover and Random Segment Mutation for Symbolic Regression (2017) (4)
- Genetic Programming for Image Classification (2021) (4)
- A heuristic solution for noisy image segmentation using Particle Swarm Optimization and Fuzzy clustering (2015) (4)
- Multiclass object classification for computer vision using Linear Genetic Programming (2009) (4)
- Improving k-means clustering with genetic programming for feature construction (2017) (4)
- Particle Swarm Optimization for Multi-Objective Web Service Location Allocation (2016) (4)
- Two-cornered learning classifier systems for pattern generation and classification (2012) (4)
- Deep Convolutional Neural Networks for Detecting Dolphin Echolocation Clicks (2021) (4)
- Balancing Parent and Offspring Selection in Genetic Programming (2009) (4)
- Stochastic Decision Making in Learning Classifier Systems through a Natural Policy Gradient Method (2014) (4)
- Wrapper Feature Construction for Figure-Ground Image Segmentation Using Genetic Programming (2017) (4)
- Applications of Evolutionary Computation (2017) (4)
- Reinforcement Learning in Continuous Spaces by Using Learning Fuzzy Classifier Systems (2015) (4)
- A Survey on Fault Diagnosis of Rolling Bearings (2022) (4)
- Genetic Programming with Pareto Local Search for Many-Objective Job Shop Scheduling (2019) (4)
- Genetic Programming for Measuring Peptide Detectability (2014) (4)
- Population Statistics for Particle Swarm Optimization : Deception , Blindness and Disorientation in Noisy Problems (2014) (4)
- GP for Object Classification: Brood Size in Brood Recombination Crossover (2006) (4)
- Scalability analysis of genetic programming classifiers (2012) (4)
- Genetic Programming for Multi-objective Test Data Generation in Search Based Software Testing (2017) (4)
- Application of Cooperative Convolution Optimization for 13C Metabolic Flux Analysis: Simulation of Isotopic Labeling Patterns Based on Tandem Mass Spectrometry Measurements (2012) (4)
- False Alarm Filter in Neural Networks for Multiclass Object Detection (2004) (4)
- GA-Novo: De Novo Peptide Sequencing via Tandem Mass Spectrometry using Genetic Algorithm (2019) (4)
- Segmented initialization and offspring modification in evolutionary algorithms for bi-objective feature selection (2020) (4)
- Mining Small Objects in Large Images Using Neural Networks (2005) (4)
- New geometric semantic operators in genetic programming: perpendicular crossover and random segment mutation (2017) (4)
- Genetic programming for solving common and domain-independent generic recursive problems (2017) (4)
- An ensemble of rule-based classifiers for incomplete data (2017) (4)
- Computer Vision and Machine Learning (2021) (3)
- Special issue on simulated evolution and learning (2009) (3)
- Directly evolving classifiers for missing data using genetic programming (2016) (3)
- Genetic Programming (2018) (3)
- Two-stage multi-objective genetic programming with archive for uncertain capacitated arc routing problem (2021) (3)
- A Two Phase Genetic Programming Approach to Object Detection (2004) (3)
- Evolutionary spatial auto-correlation for assessing earthquake liquefaction potential using Parallel Linear Genetic Programming (2013) (3)
- A novel multi-task genetic programming approach to uncertain capacitated Arc routing problem (2021) (3)
- Modelling Citation Networks for Improving Scientific Paper Classification Performance (2006) (3)
- Automatically Extracting Features Using Genetic Programming for Low-Quality Fish Image Classification (2021) (3)
- Opponent's Style Modeling Based on Situations for Bayesian Poker (2012) (3)
- Confusion matrices for improving performance of feature pattern classifier systems (2011) (3)
- Blocky Net: A New NeuroEvolution Method (2019) (3)
- Cooperative Particle Swarm Optimization for the Delay Constrained Least Cost Path Problem (2008) (3)
- Active Sampling for Dynamic Job Shop Scheduling using Genetic Programming (2019) (3)
- A linear structured approach and a refined fitness function in genetic programming for multi-class object classification (2007) (3)
- Genetic Programming for Object Detection : a Two-Phase Approach with an Improved Fitness Function (2007) (3)
- Transductive transfer learning based Genetic Programming for balanced and unbalanced document classification using different types of features (2021) (3)
- A Constrained Competitive Swarm Optimiser with an SVM-based Surrogate Model for Feature Selection (2022) (3)
- A sandpile model for reliable actor-critic reinforcement learning (2017) (3)
- A Threshold-free Classification Mechanism in Genetic Programming for High-dimensional Unbalanced Classification (2020) (3)
- Learning knowledge bases for information extraction from multiple text based Web sites (2003) (3)
- Preserving Population Diversity Based on Transformed Semantics in Genetic Programming for Symbolic Regression (2020) (3)
- Automatic Pattern Construction For Web Information Extraction (2004) (3)
- Evolutionary Image Analysis, Signal Processing and Pattern Recognition (2015) (3)
- Automatic Data Record Detection in Web Pages (2007) (3)
- Adaptive weighted splines: a new representation to genetic programming for symbolic regression (2020) (3)
- Differential Evolution-Based Feature Selection: A Niching-Based Multiobjective Approach (2023) (3)
- Attraction based PSO with sphere search for dynamic constrained multi-objective optimization problems (2011) (3)
- Output-based transfer learning in genetic programming for document classification (2020) (3)
- Fast Bi-Objective Feature Selection Using Entropy Measures and Bayesian Inference (2016) (3)
- Multi-class Object Classification and Detection Using Neural Networks (2003) (3)
- Experience of Teaching Computational Intelligence in an Undergraduate Level Course [Educational Forum] (2011) (3)
- Fast Unsupervised Edge Detection Using Genetic Programming [Application Notes] (2018) (3)
- A Profile-Based Authorship Attribution Approach to Forensic Identification in Chinese Online Messages (2016) (3)
- Sampling Heuristics for Multi-objective Dynamic Job Shop Scheduling Using Island Based Parallel Genetic Programming (2018) (3)
- A Multi-objective Genetic Programming Biomarker Detection Approach in Mass Spectrometry Data (2016) (3)
- Deep Convolutional Neural Networks with Transfer Learning for Waterline Detection in Mussel Farms (2021) (3)
- Special Issue on Computational Intelligence in Computer Vision and Image Processing [Guest Editorial] (2013) (3)
- Evolving Genetic Programming classifiers with loop structures (2012) (3)
- Improving symbolic regression based on correlation between residuals and variables (2020) (3)
- Sparse representations in deep learning for noise-robust digit classification (2013) (3)
- Algebraic Simplification of Genetic Programs during Evolution (2006) (3)
- A Survey on Evolutionary Computation for Computer Vision and Image Analysis: Past, Present, and Future Trends (2022) (3)
- Particle Swarm Optimization for Compact Neural Architecture Search for Image Classification (2022) (3)
- An automatic feature construction method for salient object detection: A genetic programming approach (2021) (3)
- Figure of Merit Based Fitness Functions in Genetic Programming for Edge Detection (2012) (3)
- Dimension reduction in classification using particle swarm optimisation and statistical variable grouping information (2016) (3)
- Using Local Search to Evaluate Dispatching Rules in Dynamic Job Shop Scheduling (2015) (3)
- Genetic Programming for Manifold Learning: Preserving Local Topology (2021) (3)
- Evolutionary computer vision and image processing: Some FAQs, current challenges and future perspectives (2016) (2)
- Local Search in Parallel Linear Genetic Programming for Multiclass Classification (2012) (2)
- Genetic Programming Based on Granular Computing for Classification with High-Dimensional Data (2018) (2)
- Multitask Feature Learning as Multiobjective Optimization: A New Genetic Programming Approach to Image Classification (2022) (2)
- Genetic programming for evolving programs with loop structures for classification tasks (2011) (2)
- ArcText: A Unified Text Approach to Describing Convolutional Neural Network Architectures (2020) (2)
- Investigation of Linear Genetic Programming for Dynamic Job Shop Scheduling (2021) (2)
- A Region Adaptive Image Classification Approach Using Genetic Programming (2020) (2)
- Special Issue on Evolutionary Computer Vision, Image Processing and Pattern Recognition (2020) (2)
- Diversity-driven Knowledge Transfer for GPHH to Solve Uncertain Capacitated Arc Routing Problem (2020) (2)
- A Grid-dominance based Multi-objective Algorithm for Feature Selection in Classification (2021) (2)
- Improved Crowding Distance in Multi-objective Optimization for Feature Selection in Classification (2021) (2)
- Constrained Expectation-Maximization Methods for Effective Reinforcement Learning (2018) (2)
- Genetic Programming-Based Evolutionary Deep Learning for Data-Efficient Image Classification (2022) (2)
- Contribution based bloat control in Genetic Programming (2010) (2)
- A Flexible Variable-length Particle Swarm Optimization Approach to Convolutional Neural Network Architecture Design (2021) (2)
- Surrogate-Assisted Genetic Programming with Diverse Transfer for the Uncertain Capacitated Arc Routing Problem (2021) (2)
- A Survey on Swarm Intelligence Approaches for Feature Selection (2019) (2)
- Learning Scheduling Heuristics for Multi-objective Dynamic Flexible Job Shop Scheduling (2021) (2)
- Adaptive Reference Point Generation for Many-Objective Optimization Using NSGA-III (2018) (2)
- Explainable Artificial Intelligence by Genetic Programming: A Survey (2022) (2)
- A Knowledge Learning Approach to Information Extraction from Multiple Text Based Web Sites (2004) (2)
- High-Dimensional Unbalanced Binary Classification by Genetic Programming with Multi-Criterion Fitness Evaluation and Selection (2021) (2)
- Genetic Programming for High-Level Feature Learning in Crop Classification (2022) (2)
- Genetic Programming Hyper-Heuristic for Stochastic Team Orienteering Problem with Time Windows (2018) (2)
- Gaussian mixture models and information entropy for image segmentation using particle swarm optimisation (2013) (2)
- Multi-Tree Genetic Programming-based Transformation for Transfer Learning in Symbolic Regression with Highly Incomplete Data (2020) (2)
- Generalized Compatible Function Approximation for Policy Gradient Search (2016) (2)
- Comparing ensemble learning approaches in genetic programming for classification with unbalanced data (2013) (2)
- Constructing Complexity-efficient Features in XCS with Tree-based Rule Conditions (2020) (2)
- Three-cornered coevolution learning classifier systems for classification tasks (2014) (2)
- Numerical-node building block analysis of genetic programming with simplification (2007) (2)
- A spatial random-meaningful neighbourhood topology in pso for edge detection in noisy images (2012) (2)
- Localisation Fitness in GP for Object Detection (2006) (2)
- Genetic Programming and Gradient Descent: A Memetic Approach to Binary Image Classification (2019) (2)
- Proceedings in Adaptation, Learning and Optimization (2016) (2)
- Feature Selection Using Diversity-Based Multi-objective Binary Differential Evolution (2023) (2)
- Evolving local interpretable model-agnostic explanations for deep neural networks in image classification (2021) (2)
- A Novel Genetic Algorithm Approach to Simultaneous Feature Selection and Instance Selection (2020) (2)
- A Hybrid DE Approach to Designing CNN for Image Classification (2018) (2)
- Evolutionary computation for feature selection and feature construction (2020) (2)
- Hybrid particle swarm optimisation based on history information sharing (2011) (2)
- Collaborative Multi-fidelity Based Surrogate Models for Genetic Programming in Dynamic Flexible Job Shop Scheduling (2021) (2)
- Multitask Learning in Hyper-Heuristic Domain with Dynamic Production Scheduling (2021) (2)
- Adaptive Search Space through Evolutionary Hyper-Heuristics for the Large-Scale Vehicle Routing Problem (2020) (2)
- Genetic programming for evolving programs with recursive structures (2016) (2)
- Sampling Issues of Tournament Selection in Genetic Programming (2009) (2)
- Information Divergence Based Saliency Detection with a Global Center-Surround Mechanism (2014) (2)
- Centred Weight Initialisation to Improve the Network Training Speed and the Performance of Object Detection (1999) (2)
- Evolutionary Image Descriptor: A Dynamic Genetic Programming Representation for Feature Extraction (2015) (2)
- GPMS: A Genetic Programming Based Approach to Multiple Alignment of Liquid Chromatography-Mass Spectrometry Data (2014) (2)
- A Graph-based QoS-Aware Method for Web Service Composition with Branching (2016) (2)
- A Genetic Programming Approach for Evolving Variable Selectors in Constraint Programming (2021) (2)
- Relatedness measures to aid the transfer of building blocks among multiple tasks (2020) (2)
- Execution trace caching for Linear Genetic Programming (2011) (2)
- Survey on Evolutionary Deep Learning: Principles, Algorithms, Applications and Open Issues (2022) (2)
- Genetic programming for borderline instance detection in high-dimensional unbalanced classification (2021) (2)
- A Memetic Framework for Cooperative Co-evolutionary Feedforward Neural Networks (2010) (1)
- Evolving Effective Ensembles for Image Classification Using Multi-objective Multi-tree Genetic Programming (2022) (1)
- Genetic Programming-Based Feature Learning for Facial Expression Classification (2020) (1)
- Co-evolution of Novel Tree-Like ANNs and Activation Functions: An Observational Study (2018) (1)
- Knowledge Transfer in Genetic Programming Hyper-heuristics (2021) (1)
- An Evolutionary Hyper-Heuristic Approach to the Large Scale Vehicle Routing Problem (2021) (1)
- A feature-based region growing-merging approach to color image segmentation (2013) (1)
- Deep Convolutional Neural Networks for Fish Weight Prediction from Images (2021) (1)
- An XCS-based algorithm for multi-objective reinforcement learning (2016) (1)
- A Two-Stage Differential Evolutionary Algorithm for Deep Ensemble Model Generation (2022) (1)
- The effect of primitive sets on the expression of evolved images (2013) (1)
- Keynote talks: Evolutionary feature selection and dimensionality reduction (2017) (1)
- A Co-Training Framework for Heterogeneous Heuristic Domain Adaptation. (2022) (1)
- A Forward Search Inspired Particle Swarm Optimization Algorithm for Feature Selection in Classification (2021) (1)
- A Parametric Framework for Genetic Programming with Transfer Learning for Uncertain Capacitated Arc Routing Problem (2020) (1)
- Towards Interpretable Routing Policy: A Two Stage Multi-Objective Genetic Programming Approach with Feature Selection for Uncertain Capacitated Arc Routing Problem (2020) (1)
- Feature Map Quality Score Estimation Through Regression (2018) (1)
- Genetic Programming for Feature Selection and Feature Combination in Salient Object Detection (2019) (1)
- Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning (2022) (1)
- A dynamic feature map integration approach for predicting human fixation (2016) (1)
- Explicitly Simplifying Evolved Genetic Programs during Evolution (2008) (1)
- The Evolution of Adjacency Matrices for Sparsity of Connection in DenseNets (2019) (1)
- Deep Learning Model with GA-based Visual Feature Selection and Context Integration (2021) (1)
- GP with a Hybrid Tree-vector Representation for Instance Selection and Symbolic Regression on Incomplete Data (2021) (1)
- Learning Heuristics With Different Representations for Stochastic Routing (2022) (1)
- Genetic Programming for Automatic Construction of Variant Features in Edge Detection (2013) (1)
- Learning to Share: A Multitasking Genetic Programming Approach to Image Feature Learning (2020) (1)
- Preprocessing Tandem Mass Spectra Using Genetic Programming for Peptide Identification (2019) (1)
- AI 2008: Advances in Artificial Intelligence, 21st Australasian Joint Conference on Artificial Intelligence, Auckland, New Zealand, December 1-5, 2008. Proceedings (2008) (1)
- Genetic Programming based Transfer Learning for Document Classification with Self-taught and Ensemble Learning (2019) (1)
- GP with Image-Related Operators for Feature Learning (2021) (1)
- Multi-tree Genetic Programming with A New Fitness Function for Melanoma Detection (2019) (1)
- Neural architecture search for sparse DenseNets with dynamic compression (2020) (1)
- Genetic Programming for Multi-class Object Classification Project Proposal (2004) (1)
- Evolving Transferable Artificial Neural Networks for Gameplay Tasks via NEAT with Phased Searching (2017) (1)
- A new artificial intelligent approach to buoy detection for mussel farming (2022) (1)
- Is a Single Image Sufficient for Evolving Edge Features by Genetic Programming? (2014) (1)
- New mechanism for archive maintenance in PSO-based multi-objective feature selection (2016) (1)
- Evolving texture image descriptors using a multitree genetic programming representation (2017) (1)
- Particle Swarm Optimisation for Analysing Time-Dependent Photoluminescence Data (2021) (1)
- A Multiform Optimization Framework for Constrained Multiobjective Optimization. (2022) (1)
- A Genetic Programming Approach for Constructing Foreground and Background Saliency Features for Salient Object Detection (2018) (1)
- Solving Multi-objective Feature Selection Problems in Classification via Problem Reformulation and Duplication Handling (2022) (1)
- The Relative Power of Structural Genomic Variation versus SNPs in Explaining the Quantitative Trait Growth in the Marine Teleost Chrysophrys auratus (2022) (1)
- A new approach to multiple class pattern classification with random matrices (2005) (1)
- Founding Editor-in-Chief (2004) (1)
- Architecture Augmentation for Performance Predictor Based on Graph Isomorphism (2022) (1)
- Simulated evolution and learning: proceedings of the 7th International Conference on Simulated Evolution and Learning (SEAL 2008), Melbourne, Victoria, Australia, 07-10 December 2008 (2008) (1)
- A Multi-Objective Genetic Programming Approach with Self-Adaptive α Dominance to Uncertain Capacitated Arc Routing Problem (2021) (1)
- An Analysis and Evaluation of the Saving Capability and Feasibility of Backward-Chaining Evolutionary Algorithms (2009) (1)
- Evolving Deep Convolutional Neural Networks for Hyperspectral Image Denoising (2020) (1)
- Decomposition Based Multi-Objective Evolutionary Algorithm in XCS for Multi-Objective Reinforcement Learning (2018) (1)
- Genetic programming for algae detection in river images (2015) (1)
- Budget and SLA Aware Dynamic Workflow Scheduling in Cloud Computing with Heterogeneous Resources (2021) (1)
- A Linear Regression Approach to Numerical Simplication in Tree-Based Genetic Programming (2011) (1)
- Caching for parallel linear genetic programming (2011) (1)
- Automatic Discovery of Optimisation Search Heuristics for Two Dimensional Strip Packing Using Genetic Programming (2012) (1)
- An analysis of the distribution of swapped subtree sizes in tree-based genetic programming (2008) (1)
- Automatically Evolving Texture Image Descriptors Using the Multitree Representation in Genetic Programming Using Few Instances (2020) (1)
- Evolutionary Computation for Feature Selection and Feature Construction (2016) (1)
- Developing an evolvable pattern generator using learning classifier systems (2011) (1)
- A classification method based on self-adaptive artificial bee colony (2017) (1)
- Automatically Diagnosing Skin Cancers From Multimodality Images Using Two-Stage Genetic Programming (2022) (1)
- GPCNN: Evolving Convolutional Neural Networks using Genetic Programming (2020) (1)
- Multi-objective genetic programming for symbolic regression with the adaptive weighted splines representation (2021) (1)
- Not-Sampled Issue and Round-Replacement Tournament Selection (2007) (1)
- Differentiable Genetic Programming for High-dimensional Symbolic Regression (2023) (0)
- Investigation of low-level edge feature extraction using three blocks (2013) (0)
- Evolutionary computation for feature selection and feature construction (2022) (0)
- Evolutionary computation and evolutionary deep learning for image analysis, signal processing and pattern recognition (2021) (0)
- Proceedings of the 21st Australasian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence (2008) (0)
- Multi-objective Feature Selection with a Sparsity-based Objective Function and Gradient Local Search for Multi-label Classification (2021) (0)
- A NSGA-II-based Approach for Web Service Resource Allocation On Cloud (2017) (0)
- Genetic Programming for Image Classification: A New Program Representation with Flexible Feature Reuse (2022) (0)
- Refining Fitness Functions and Optimising Training Data in GP for Object Detection (2006) (0)
- Guest editorial: special issue on automated design and adaptation of heuristics for scheduling and combinatorial optimisation (2017) (0)
- Search Mechanism with Specialised Genetic Operators (2021) (0)
- Simulated Evolution and Learning 11th International Conference, SEAL 2017, Shenzhen, China, November 10–13, 2017, Proceedings (2017) (0)
- Evolutionary computation for feature selection and feature construction (2021) (0)
- Binary Differential Evolution based Feature Selection Method with Mutual Information for Imbalanced Classification Problems (2021) (0)
- ConCS: A Continual Classifier System for Continual Learning of Multiple Boolean Problems (2022) (0)
- Genetic Programming for Symbolic Regression: A Study on Fish Weight Prediction (2021) (0)
- AI 2008: Advances in Artificial Intelligence 21st Australasian Joint Conference on Artificial Intelligence, Auckland, New Zealand, December 3-5, 2008 ... / Lecture Notes in Artificial Intelligence) (2008) (0)
- Graph-based linear genetic programming: a case study of dynamic scheduling (2022) (0)
- Genetic programming for high-dimensional imbalanced classification with a new fitness function and program reuse mechanism (2020) (0)
- Information Extraction from A Whole Web Site (2006) (0)
- Genetic Programming for Extracting Edge Features Using Two Blocks (2015) (0)
- Introduction (2021) (0)
- Evolutionary Computation and Genetic Programming (2021) (0)
- Evolutionary computation and evolutionary deep learning for image analysis, signal processing and pattern recognition (2022) (0)
- Efficiency Improvement with Multi-fidelity Surrogates (2021) (0)
- Evolutionary Neural Architecture Search and Applications [Guest Editorial] (2021) (0)
- Phenotype Based Surrogate-Assisted Multi-objective Genetic Programming with Brood Recombination for Dynamic Flexible Job Shop Scheduling (2022) (0)
- Automated and Efficient Sparsity-based Feature Selection via a Dual-component Vector (2021) (0)
- Scientific Paper Classification using Neural Networks (2006) (0)
- GP with Image Descriptors for Learning Global and Local Features (2021) (0)
- Data Imputation for Symbolic Regression with Missing Values: A Comparative Study (2020) (0)
- Detecting Overlapping Areas in Unbalanced High-dimensional Data Using Neighborhood Rough Set and Genetic Programming (2022) (0)
- Particle swarm optimisation based AdaBoost for facial expression classification of still images (2010) (0)
- A Layered Learning Approach to Scaling in Learning Classifier Systems for Boolean Problems (2020) (0)
- A genetic programming method for classifier construction and cost learning in high-dimensional unbalanced classification (2020) (0)
- Evolutionary computation for feature selection and feature construction (2018) (0)
- Eliminating Useless Object Detectors Evolved in Multiple-Objective Genetic Programming (2011) (0)
- Differential Evolution With Duplication Analysis for Feature Selection in Classification. (2022) (0)
- swarm optimisation for feature selection in classification : ovel initialisation and updating mechanisms (2014) (0)
- Handling Branched Web Service Composition with a QoS-Aware Graph-Based Method (2016) (0)
- Automated Fish Classification Using Unprocessed Fatty Acid Chromatographic Data: A Machine Learning Approach (2022) (0)
- Using Learning Classifier Systems to Learn (2015) (0)
- Evolutionary Multi-Objective Optimization for Web Service Location Allocation (2016) (0)
- Particle swarm optimisation for sparsity-based feature selection in multi-label classification (2022) (0)
- Learning to Rank Peptide-Spectrum Matches Using Genetic Programming (2019) (0)
- Feature Clustering-Assisted Feature Selection with Differential Evolution (2023) (0)
- Multi-layer Representation for Binary Image Classification (2021) (0)
- Learning Schedule Improvement (2021) (0)
- Automated state feature learning for actor-critic reinforcement learning through NEAT (2017) (0)
- Learning Heuristics for Multi-objective Dynamic Production Scheduling Problems (2021) (0)
- Simulated Evolution and Learning, 7th International Conference, SEAL 2008, Melbourne, Australia, December 7-10, 2008. Proceedings (2008) (0)
- Feature Selection for Evolving Many-Objective Job Shop Scheduling Dispatching Rules with Genetic Programming (2021) (0)
- Genetic Programming-Based Selection of Imputation Methods in Symbolic Regression with Missing Values (2020) (0)
- Evolving U-Nets Using Genetic Programming for Tree Crown Segmentation (2022) (0)
- Cooperative Coevolution for Multi-objective Production Scheduling Problems (2021) (0)
- A Graph-Based Approach to Automatic Convolutional Neural Network Construction for Image Classification (2020) (0)
- Genetic programming with a new representation and a new mutation operator for image classification (2021) (0)
- Sparsity-based evolutionary multi-objective feature selection for multi-label classification (2021) (0)
- Automatic Resolution Selection for Edge Detection Using Genetic Programming (2014) (0)
- Genetic Programming for Evolving Computer Programs with Loop Structures for Classification Tasks (2011) (0)
- GP for Simultaneous Feature Learning and Ensemble Learning (2021) (0)
- SR-Forest: A Genetic Programming based Heterogeneous Ensemble Learning Method (2023) (0)
- Compaction for code fragment based learning classifier systems — Redux (2016) (0)
- Introduction (2021) (0)
- An Improved Multi-Objective Genetic Programming Hyper-Heuristic with Archive for Uncertain Capacitated Arc Routing Problem (2021) (0)
- Using Neural Networks to Automate Monitoring of Fish Stocks (2022) (0)
- The Modi Program Tree Structure 2 . 1 Modi Program Structure (0)
- Effective Linear Policy Gradient Search through Primal-Dual Approximation (2020) (0)
- Multi-objective Genetic Programming with the Adaptive Weighted Splines Representation for Symbolic Regression (2022) (0)
- Surrogate-Assisted Multitask Genetic Programming for Learning Scheduling Heuristics (2021) (0)
- ACISS 2009 Tutorial Genetic Programming for Data Mining (2009) (0)
- An Investigation on Multi-Objective Fish Breeding Program Design (2021) (0)
- Sampling Heuristics for Multi-Objective Dynamic Job Shop Scheduling Using Genetic Programming (2018) (0)
- Genetic Algorithm for Feature and Latent Variable Selection for Nutrient Assessment in Horticultural Products (2021) (0)
- Tutorials at PPSN 2018 (2018) (0)
- ADomain-IndependentWindow Approach toMulticlass Object Detection Using Genetic Programming (2003) (0)
- Adaptive artificial datasets to discover the effects of domain features for classification tasks (2013) (0)
- Genetic Algorithms for Optimising Context-based Neural Networks for Image Segmentation (2022) (0)
- Victoria University of Wellington (2020) (0)
- Particle Swarm Optimization for Efficiently Evolving Deep Convolutional Neural Networks Using an Autoencoder-based Encoding Strategy (2023) (0)
- Evolving network structures for text classification using genetic algorithms (2020) (0)
- Evolutionary Deep Learning Using GP with Convolution Operators (2021) (0)
- An Investigation of Primitive Set Selection and Evaluation for Image Generation Using Genetic Programming (2010) (0)
- Multi-frequency transformation for edge detection (2012) (0)
- Random Forest-Assisted GP for Feature Learning (2021) (0)
- Supplementary Material of “Contribution-based Cooperative Co-evolution for Non-separable Large-scale Problems with Overlapping Subcomponents” (2020) (0)
- Deep Learning Model with GA based Feature Selection and Context Integration (2022) (0)
- TreeWrapper: Automatic Data Extraction Based on Tree Representation (2006) (0)
- Learning Initialisation Heuristic for Large Scale Vehicle Routing Problem with Genetic Programming (2021) (0)
- N E ] 1 0 M ar 2 01 9 Automatically Evolving CNN Architectures Based on Blocks Yanan Sun and (2019) (0)
- Benefiting From Single-Objective Feature Selection to Multiobjective Feature Selection: A Multiform Approach. (2022) (0)
- Conclusions and Future Directions (2021) (0)
- Genetic Algorithms and Neural Networks for Object Detection (2006) (0)
- GP-based Feature Selection and Weighted KNN-based Instance Selection for Symbolic Regression with Incomplete Data (2020) (0)
- A Global and Local Surrogate-Assisted Genetic Programming Approach to Image Classification (2022) (0)
- A Genetic Programming Approach to Automatically Construct Informative Attributes for Mammographic Density Classification (2022) (0)
- Automatically Diagnosing Suspicious Regions in Skin Images Using Two-Stage Genetic Programming (2021) (0)
- Population-based ensemble classifier induction for domain adaptation (2019) (0)
- Automatically Designing U-Nets Using A Genetic Algorithm for Tree Image Segmentation (2022) (0)
- Search Space Reduction with Feature Selection (2021) (0)
- Memetic Cooperative Co-evolutionary Recurrent Neural Networks (2011) (0)
- EDE-NAS: An Eclectic Differential Evolution Approach to Single-Path Neural Architecture Search (2022) (0)
- Learning Schedule Construction Heuristics (2021) (0)
- A Decomposition Based Multi-objective Genetic Programming Algorithm for Classification of Highly Imbalanced Tandem Mass Spectrometry (2019) (0)
- Proceedings of the 10th International Conference on Simulated Evolution and Learning - Volume 8886 (2014) (0)
- Multi-objective Multi-label Feature Selection with an Aggregated Performance Metric and Dominance-based Initialisation (2021) (0)
- A transfer learning based evolutionary deep learning framework to evolve convolutional neural networks (2021) (0)
- Artificial Intelligence in New Zealand: applications and innovation (2023) (0)
- Improving generalisation of AutoML systems with dynamic fitness evaluations (2020) (0)
- A Multi-objective Genetic Algorithm to Evolving Local Interpretable Model-agnostic Explanations for Deep Neural Networks in Image Classification (2022) (0)
- A Bi-level Ant Colony Optimization Algorithm for Capacitated Electric Vehicle Routing Problem (2021) (0)
- Evolutionary computation and evolutionary deep learning for image analysis, signal processing and pattern recognition (2019) (0)
- Explaining Deep Convolutional Neural Networks for Image Classification by Evolving Local Interpretable Model-agnostic Explanations (2022) (0)
- Foreword: special issue on evolutionary computer vision and pattern recognition (2016) (0)
- A Two-Stage Efficient Evolutionary Neural Architecture Search Method for Image Classification (2021) (0)
- Evolutionary computation and evolutionary deep learning for image analysis, signal processing and pattern recognition (2020) (0)
- A New Genetic Algorithm for Automated Spectral Pre-processing in Nutrient Assessment (2022) (0)
- Adaptive Multitask Genetic Programming for Dynamic Job Shop Scheduling (2021) (0)
- Representations with Multi-tree and Cooperative Coevolution (2021) (0)
- Local ranking explanation for genetic programming evolved routing policies for uncertain capacitated Arc routing problems (2022) (0)
- Improving the Results of De novo Peptide Identification via Tandem Mass Spectrometry Using a Genetic Programming-based Scoring Function for Re-ranking Peptide-Spectrum Matches (2019) (0)
- Multi-task optimisation for multi-objective feature selection in classification (2022) (0)
- Niching-Assisted Genetic Programming for Finding Multiple High-Quality Classifiers (2022) (0)
- Conference Report on 2019 IEEE Congress on Evolutionary Computation (IEEE CEC 2019) [Conference Reports] (2020) (0)
- MAP-Elites with Cosine-Similarity for Evolutionary Ensemble Learning (2023) (0)
- Handling Different Preferences Between Objectives for Multi-objective Feature Selection in Classification (2022) (0)
- An on-line Pittsburgh LCS for the Three-Cornered Coevolution Framework (2015) (0)
- Learning to Augment Operations Research Algorithms (2021) (0)
- Guest Editorial: special issue on evolutionary optimisation and learning (2011) (0)
- Maximising total weighted number of activities for reservation with slack (2016) (0)
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What Schools Are Affiliated With Mengjie Zhang?
Mengjie Zhang is affiliated with the following schools: