Mengjie Zhang

Mengjie Zhang's AcademicInfluence.com Rankings

Mengjie Zhang

Computer Science

#3395

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#3561

Historical Rank

Database

#795

World Rank

#835

Historical Rank

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Computer Science

Mengjie Zhang's Degrees

PhD Computer Science University of Auckland

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Best Online PhD of Computer Science (Doctorates) 2026

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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:

Victoria University of Wellington
RMIT University
University of Auckland

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