Xin Yao
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Computer Science
Xin Yao's Degrees
- Bachelors Computer Science University of Science and Technology of China
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(Suggest an Edit or Addition)Xin Yao's Published Works
Published Works
- Evolutionary programming made faster (1999) (3497)
- Evolving artificial neural networks (1999) (1910)
- Stochastic ranking for constrained evolutionary optimization (2000) (1586)
- Evolving Artificial Neural Networks (1999) (1479)
- A Survey on Evolutionary Computation Approaches to Feature Selection (2016) (1096)
- Diversity creation methods: a survey and categorisation (2004) (971)
- A new evolutionary system for evolving artificial neural networks (1997) (941)
- Large scale evolutionary optimization using cooperative coevolution (2008) (926)
- Benchmark Functions for the CEC'2013 Special Session and Competition on Large-Scale Global Optimization (2008) (713)
- MWMOTE--Majority Weighted Minority Oversampling Technique for Imbalanced Data Set Learning (2014) (703)
- Ensemble learning via negative correlation (1999) (688)
- Cooperatively Coevolving Particle Swarms for Large Scale Optimization (2012) (680)
- Parallel Problem Solving from Nature PPSN VI (2000) (618)
- Fast Evolution Strategies (1997) (543)
- Cooperative Co-Evolution With Differential Grouping for Large Scale Optimization (2014) (516)
- A review of evolutionary artificial neural networks (1993) (509)
- A New Dominance Relation-Based Evolutionary Algorithm for Many-Objective Optimization (2016) (486)
- Evolutionary programming using mutations based on the Levy probability distribution (2004) (484)
- Performance Scaling of Multi-objective Evolutionary Algorithms (2003) (475)
- Evolutionary ensembles with negative correlation learning (2000) (456)
- Search biases in constrained evolutionary optimization (2005) (450)
- Diversity analysis on imbalanced data sets by using ensemble models (2009) (444)
- The Impact of Diversity on Online Ensemble Learning in the Presence of Concept Drift (2010) (443)
- Using Class Imbalance Learning for Software Defect Prediction (2013) (443)
- Many-Objective Evolutionary Algorithms (2015) (435)
- Drift analysis and average time complexity of evolutionary algorithms (2001) (427)
- Multiclass Imbalance Problems: Analysis and Potential Solutions (2012) (407)
- DDD: A New Ensemble Approach for Dealing with Concept Drift (2012) (404)
- An analysis of diversity measures (2006) (397)
- Two_Arch2: An Improved Two-Archive Algorithm for Many-Objective Optimization (2015) (372)
- Promises and challenges of evolvable hardware (1996) (371)
- Software Module Clustering as a Multi-Objective Search Problem (2011) (367)
- Self-adaptive differential evolution with neighborhood search (2008) (365)
- A novel evolutionary data mining algorithm with applications to churn prediction (2003) (358)
- Fast Evolutionary Programming (1996) (346)
- Multilevel cooperative coevolution for large scale optimization (2008) (336)
- A constructive algorithm for training cooperative neural network ensembles (2003) (317)
- Balancing Convergence and Diversity in Decomposition-Based Many-Objective Optimizers (2016) (287)
- Making use of population information in evolutionary artificial neural networks (1998) (282)
- Resampling-Based Ensemble Methods for Online Class Imbalance Learning (2015) (279)
- Simultaneous training of negatively correlated neural networks in an ensemble (1999) (278)
- Experimental study on population-based incremental learning algorithms for dynamic optimization problems (2005) (275)
- Population-Based Incremental Learning With Associative Memory for Dynamic Environments (2008) (275)
- A novel co-evolutionary approach to automatic software bug fixing (2008) (271)
- Scaling up fast evolutionary programming with cooperative coevolution (2001) (247)
- Cooperative Co-evolution with delta grouping for large scale non-separable function optimization (2010) (242)
- A study of drift analysis for estimating computation time of evolutionary algorithms (2004) (240)
- Evolutionary Artificial Neural Networks (1993) (232)
- A benchmark test suite for evolutionary many-objective optimization (2017) (231)
- Time complexity of evolutionary algorithms for combinatorial optimization: A decade of results (2007) (228)
- Parallel Problem Solving from Nature - PPSN IX: 9th International Conference, Reykjavik, Iceland, September 9-13, 2006, Proceedings (2006) (225)
- Evolving Diverse Ensembles Using Genetic Programming for Classification With Unbalanced Data (2013) (205)
- Towards an analytic framework for analysing the computation time of evolutionary algorithms (2003) (205)
- Quality Evaluation of Solution Sets in Multiobjective Optimisation (2019) (202)
- DG2: A Faster and More Accurate Differential Grouping for Large-Scale Black-Box Optimization (2017) (199)
- Memetic Algorithm With Extended Neighborhood Search for Capacitated Arc Routing Problems (2009) (199)
- Cooperative Co-evolution for large scale optimization through more frequent random grouping (2010) (195)
- Decomposition-Based Memetic Algorithm for Multiobjective Capacitated Arc Routing Problem (2011) (195)
- Evolutionary Optimization (2002) (191)
- Differential evolution for high-dimensional function optimization (2007) (191)
- From an individual to a population: an analysis of the first hitting time of population-based evolutionary algorithms (2002) (190)
- Evolutionary computation : theory and applications (1999) (182)
- Benchmark Generator for CEC'2009 Competition on Dynamic Optimization (2008) (182)
- Population-Based Algorithm Portfolios for Numerical Optimization (2010) (182)
- An evolutionary approach to materialized views selection in a data warehouse environment (2001) (175)
- A Memetic Algorithm for VLSI Floorplanning (2007) (175)
- Two-Archive Evolutionary Algorithm for Constrained Multiobjective Optimization (2017) (174)
- Towards designing artificial neural networks by evolution (1998) (174)
- A Systematic Study of Online Class Imbalance Learning With Concept Drift (2017) (168)
- Making a Difference to Differential Evolution (2008) (164)
- Ensemble Learning Using Multi-Objective Evolutionary Algorithms (2006) (160)
- Mathematical modeling and multi-objective evolutionary algorithms applied to dynamic flexible job shop scheduling problems (2015) (156)
- A Competitive Divide-and-Conquer Algorithm for Unconstrained Large-Scale Black-Box Optimization (2016) (155)
- Stochastic Ranking Algorithm for Many-Objective Optimization Based on Multiple Indicators (2016) (154)
- Evolving hybrid ensembles of learning machines for better generalisation (2006) (152)
- A Survey of Automatic Parameter Tuning Methods for Metaheuristics (2020) (150)
- A Survey on Problem Models and Solution Approaches to Rescheduling in Railway Networks (2015) (148)
- Diversity Assessment in Many-Objective Optimization (2017) (147)
- Ensembles and locality: Insight on improving software effort estimation (2013) (143)
- Dynamic Sampling Approach to Training Neural Networks for Multiclass Imbalance Classification (2013) (139)
- Evolving artificial neural network ensembles (2008) (136)
- Tackling high dimensional nonseparable optimization problems by cooperatively coevolving particle swarms (2009) (132)
- A New Multi-objective Evolutionary Optimisation Algorithm: The Two-Archive Algorithm (2006) (126)
- A New Adaptive Merging and Growing Algorithm for Designing Artificial Neural Networks (2009) (126)
- Regularized Negative Correlation Learning for Neural Network Ensembles (2009) (125)
- Probabilistic Classification Vector Machines (2009) (124)
- Materialized view selection as constrained evolutionary optimization (2003) (123)
- Cooperative Coevolution With Route Distance Grouping for Large-Scale Capacitated Arc Routing Problems (2014) (123)
- An Evolutionary Multiobjective Approach to Sparse Reconstruction (2014) (122)
- Online Ensemble Learning of Data Streams with Gradually Evolved Classes (2016) (119)
- Multiobjective Neural Network Ensembles Based on Regularized Negative Correlation Learning (2010) (119)
- Dynamic Multiobjectives Optimization With a Changing Number of Objectives (2016) (118)
- Robust Online Time Series Prediction with Recurrent Neural Networks (2016) (118)
- A Learning-to-Rank Approach to Software Defect Prediction (2015) (117)
- Relationships between Diversity of Classification Ensembles and Single-Class Performance Measures (2013) (115)
- A Survey of Self-Awareness and Its Application in Computing Systems (2011) (114)
- Search based software testing of object-oriented containers (2008) (114)
- An evolutionary clustering algorithm for gene expression microarray data analysis (2006) (114)
- Smart use of computational resources based on contribution for cooperative co-evolutionary algorithms (2011) (114)
- Corner Sort for Pareto-Based Many-Objective Optimization (2014) (113)
- Linear dimensionality reduction using relevance weighted LDA (2005) (112)
- Scalability of generalized adaptive differential evolution for large-scale continuous optimization (2010) (110)
- Recent Advances in Evolutionary Computation (2006) (108)
- Learning in the Model Space for Cognitive Fault Diagnosis (2014) (107)
- A large population size can be unhelpful in evolutionary algorithms (2012) (106)
- A cooperative coevolutionary algorithm with Correlation based Adaptive Variable Partitioning (2009) (105)
- Neural-Based Learning Classifier Systems (2008) (105)
- Analysis of the $(1+1)$-EA for Finding Approximate Solutions to Vertex Cover Problems (2009) (103)
- A learning framework for online class imbalance learning (2013) (103)
- Thermodynamic Pareto optimization of turbojet engines using multi-objective genetic algorithms (2005) (102)
- A hybrid Hopfield network-genetic algorithm approach for the terminal assignment problem (2004) (102)
- Continuous Dynamic Constrained Optimization—The Challenges (2012) (102)
- An empirical study of genetic operators in genetic algorithms (1993) (101)
- Predictive Ensemble Pruning by Expectation Propagation (2009) (101)
- Gene selection algorithms for microarray data based on least squares support vector machine (2006) (100)
- Behavioral diversity, choices and noise in the iterated prisoner's dilemma (2005) (99)
- Simulated annealing with extended neighbourhood (1991) (97)
- A new evolutionary approach to cutting stock problems with and without contiguity (2002) (96)
- Model-based kernel for efficient time series analysis (2013) (96)
- Evolutionary Search of Approximated N-dimensional Landscapes (2000) (95)
- Scaling Up Estimation of Distribution Algorithms for Continuous Optimization (2011) (94)
- Multi-Objective Approaches to Optimal Testing Resource Allocation in Modular Software Systems (2010) (93)
- DIVACE: Diverse and Accurate Ensemble Learning Algorithm (2004) (91)
- How well do multi-objective evolutionary algorithms scale to large problems (2007) (89)
- R-Metric: Evaluating the Performance of Preference-Based Evolutionary Multiobjective Optimization Using Reference Points (2018) (89)
- Bagging and Boosting Negatively Correlated Neural Networks (2008) (89)
- Software effort estimation as a multiobjective learning problem (2013) (88)
- Evolutionary design of artificial neural networks with different nodes (1996) (86)
- Negative correlation learning for classification ensembles (2010) (86)
- Dynamic adaptive Search Based Software Engineering (2012) (86)
- Efficient Resource Allocation in Cooperative Co-Evolution for Large-Scale Global Optimization (2017) (84)
- Clustering and learning Gaussian distribution for continuous optimization (2005) (84)
- On the approximation ability of evolutionary optimization with application to minimum set cover (2010) (83)
- Robust route optimization for gritting/salting trucks: a CERCIA experience (2006) (83)
- A new simulated annealing algorithm (1995) (83)
- On the Impact of Mutation-Selection Balance on the Runtime of Evolutionary Algorithms (2009) (82)
- Analysis of Computational Time of Simple Estimation of Distribution Algorithms (2010) (81)
- Population-based Algorithm Portfolios with automated constituent algorithms selection (2014) (80)
- A New Approach for Analyzing Average Time Complexity of Population-Based Evolutionary Algorithms on Unimodal Problems (2009) (78)
- The impact of parameter tuning on software effort estimation using learning machines (2013) (78)
- How to Read Many-Objective Solution Sets in Parallel Coordinates [Educational Forum] (2017) (77)
- Evolutionary Multiobjective Optimization-Based Multimodal Optimization: Fitness Landscape Approximation and Peak Detection (2018) (77)
- Concept drift detection for online class imbalance learning (2013) (76)
- Socio-economic vision graph generation and handover in distributed smart camera networks (2014) (75)
- A Memetic Algorithm for Periodic Capacitated Arc Routing Problem (2011) (75)
- Multi-objective Improvement of Software Using Co-evolution and Smart Seeding (2008) (74)
- A Global Repair Operator for Capacitated Arc Routing Problem (2009) (73)
- A framework for finding robust optimal solutions over time (2013) (72)
- Dynamic evolutionary optimisation: an analysis of frequency and magnitude of change (2009) (72)
- Meta-Heuristic Algorithms in Car Engine Design: A Literature Survey (2015) (72)
- A multi-objective approach to Redundancy Allocation Problem in parallel-series systems (2009) (71)
- Metaheuristics for agricultural land use optimization. A review (2015) (71)
- The GRD Chip: Genetic Reconfiguration of DSPs for Neural Network Processing (1999) (70)
- Online Class Imbalance Learning and its Applications in Fault Detection (2013) (70)
- Benchmarking Optimization Algorithms: An Open Source Framework for the Traveling Salesman Problem (2014) (70)
- Concept Drift Adaptation by Exploiting Historical Knowledge (2017) (70)
- Architectural Aspects of Self-Aware and Self-Expressive Computing Systems: From Psychology to Engineering (2015) (69)
- Fast evolutionary algorithms (2003) (69)
- Unified eigen analysis on multivariate Gaussian based estimation of distribution algorithms (2008) (68)
- Performance of infeasibility driven evolutionary algorithm (IDEA) on constrained dynamic single objective optimization problems (2009) (68)
- Reusing Genetic Programming for Ensemble Selection in Classification of Unbalanced Data (2014) (68)
- Robust optimization over time — A new perspective on dynamic optimization problems (2010) (66)
- Empirical analysis of evolutionary algorithms with immigrants schemes for dynamic optimization (2009) (66)
- Benchmarking and solving dynamic constrained problems (2009) (66)
- A Note on Problem Difficulty Measures in Black-Box Optimization: Classification, Realizations and Predictability (2007) (65)
- Hybrid meta-heuristics algorithms for task assignment in heterogeneous computing systems (2006) (65)
- Ensemble structure of evolutionary artificial neural networks (1996) (64)
- An improved Two Archive Algorithm for Many-Objective optimization (2014) (63)
- Model-based evolutionary algorithms: a short survey (2018) (63)
- A Hybrid Ant Colony Optimization Algorithm for the Extended Capacitated Arc Routing Problem (2011) (63)
- How to make best use of cross-company data in software effort estimation? (2014) (63)
- Cognitive fault diagnosis in Tennessee Eastman Process using learning in the model space (2014) (62)
- Estimation of the Distribution Algorithm With a Stochastic Local Search for Uncertain Capacitated Arc Routing Problems (2016) (62)
- Analysis of population-based evolutionary algorithms for the vertex cover problem (2008) (62)
- Objective reduction based on nonlinear correlation information entropy (2016) (60)
- A New Constructive Algorithm for Architectural and Functional Adaptation of Artificial Neural Networks (2009) (60)
- What Weights Work for You? Adapting Weights for Any Pareto Front Shape in Decomposition-Based Evolutionary Multiobjective Optimisation (2017) (59)
- Architecting Self-Aware Software Systems (2014) (58)
- Multi-start JADE with knowledge transfer for numerical optimization (2009) (58)
- Multiclass Imbalance Problems: Analysis and Potential Solutions. (2012) (58)
- Capacitated arc routing problem in uncertain environments (2010) (57)
- An Analysis of Evolutionary Algorithms Based on Neighborhood and Step Sizes (1997) (57)
- Measuring Generalization Performance in Coevolutionary Learning (2008) (57)
- Negatively Correlated Search (2015) (56)
- An Evolutionary Approach to the Multidepot Capacitated Arc Routing Problem (2010) (56)
- Graph-Based Approaches for Over-Sampling in the Context of Ordinal Regression (2015) (55)
- Turning High-Dimensional Optimization Into Computationally Expensive Optimization (2018) (55)
- Efficient Probabilistic Classification Vector Machine With Incremental Basis Function Selection (2014) (55)
- A cooperative ensemble learning system (1998) (54)
- Scalable Graph-Based Semi-Supervised Learning through Sparse Bayesian Model (2017) (54)
- A Review of Evolutionary Artiicial Neural Networks 1 2 (1993) (54)
- A new self-adaptation scheme for differential evolution (2014) (54)
- Semisupervised Classification With Cluster Regularization (2012) (53)
- Adapting Self-Adaptive Parameters in Evolutionary Algorithms (2001) (53)
- Neural networks for breast cancer diagnosis (1999) (53)
- A Memetic Algorithm for Multi-Level Redundancy Allocation (2010) (52)
- Combining landscape approximation and local search in global optimization (1999) (52)
- Why more choices cause less cooperation in iterated prisoner's dilemma (2001) (52)
- Trade-Off Between Diversity and Accuracy in Ensemble Generation (2006) (51)
- Benchmark Functions for the CEC'2017 Competition on Many-Objective Optimization (2017) (51)
- The Handbook of Engineering Self-Aware and Self-Expressive Systems (2014) (51)
- Can cross-company data improve performance in software effort estimation? (2012) (51)
- CBCC3 — A contribution-based cooperative co-evolutionary algorithm with improved exploration/exploitation balance (2016) (51)
- Integration of Preferences in Decomposition Multiobjective Optimization (2017) (50)
- Multiobjective Learning in the Model Space for Time Series Classification (2019) (50)
- The Impact of Payoff Function and Local Interaction on the N-Player Iterated Prisoner's Dilemma (2000) (50)
- Co-evolutionary modular neural networks for automatic problem decomposition (2005) (50)
- Dealing with Multiple Classes in Online Class Imbalance Learning (2016) (49)
- On the Effectiveness of Sampling for Evolutionary Optimization in Noisy Environments (2014) (49)
- On investigation of interdependence between sub-problems of the Travelling Thief Problem (2016) (49)
- An adaptive coevolutionary Differential Evolution algorithm for large-scale optimization (2009) (48)
- Dynamic Multi-objective Optimization: A Survey of the State-of-the-Art (2013) (48)
- On the Easiest and Hardest Fitness Functions (2012) (48)
- Evolutionary Path Control Strategy for Solving Many-Objective Optimization Problem (2015) (48)
- Solving equations by hybrid evolutionary computation techniques (2000) (48)
- Improved Evolutionary Algorithm Design for the Project Scheduling Problem Based on Runtime Analysis (2014) (47)
- Crossover can be constructive when computing unique input–output sequences (2011) (47)
- Dynamic Time-Linkage Problems Revisited (2009) (46)
- Evolutionary algorithms with adaptive Levy mutations (2001) (46)
- Multiline Distance Minimization: A Visualized Many-Objective Test Problem Suite (2018) (46)
- Interactive Decomposition Multiobjective Optimization Via Progressively Learned Value Functions (2018) (46)
- Dynamic Software Project Scheduling through a Proactive-Rescheduling Method (2016) (44)
- An analysis of multi-objective evolutionary algorithms for training ensemble models based on different performance measures in software effort estimation (2013) (44)
- Negative correlation in incremental learning (2009) (44)
- Resource allocation in decentralised computational systems: an evolutionary market-based approach (2010) (44)
- Evolving Artificial Neural Networks through Evolutionary Programming (1996) (43)
- Scaling Up Dynamic Optimization Problems: A Divide-and-Conquer Approach (2020) (43)
- Feature Selection for Microarray Data Using Least Squares SVM and Particle Swarm Optimization (2005) (43)
- Global optimisation by evolutionary algorithms (1997) (43)
- Coevolving programs and unit tests from their specification (2007) (42)
- Improving Generalization Performance in Co-Evolutionary Learning (2012) (42)
- Improving Efficiency of Heuristics for the Large Scale Traveling Thief Problem (2014) (42)
- Ensemble of Classifiers Based on Multiobjective Genetic Sampling for Imbalanced Data (2020) (41)
- A Scalable Approach to Capacitated Arc Routing Problems Based on Hierarchical Decomposition (2017) (41)
- A clustering-ranking method for many-objective optimization (2015) (41)
- Estimation of distribution algorithms for testing object oriented software (2007) (41)
- Regularity Model for Noisy Multiobjective Optimization (2016) (40)
- Optimization by Genetic Annealing (1991) (40)
- A socio-economic approach to online vision graph generation and handover in distributed smart camera networks (2011) (40)
- An efficient local search heuristic with row weighting for the unicost set covering problem (2015) (40)
- Convex Hull-Based Multiobjective Genetic Programming for Maximizing Receiver Operating Characteristic Performance (2015) (40)
- Fitness-Probability Cloud and a Measure of Problem Hardness for Evolutionary Algorithms (2011) (40)
- Finding Robust Solutions to Dynamic Optimization Problems (2013) (40)
- Model Metric Co-Learning for Time Series Classification (2015) (40)
- An Experimental Investigation of Self-Adaptation in Evolutionary Programming (1998) (40)
- Erratum to: Drift analysis and average time complexity of evolutionary algorithms [Artificial Intelligence 127 (2001) 57-85] (2002) (40)
- Recent Advances in Simulated Evolution and Learning [extended and revised papers selected from the 4th Asia-Pacific Conference on Simulated Evolution and Learning, SEAL 2002, 18-22 November 2002, Singapore] (2004) (40)
- An Experimental Study of Hybridizing Cultural Algorithms and Local Search (2008) (39)
- Co-evolutionary automatic programming for software development (2014) (39)
- Optimal switch location in mobile communication networks using hybrid genetic algorithms (2008) (39)
- Binarization With Boosting and Oversampling for Multiclass Classification (2016) (39)
- Robust twin boosting for feature selection from high-dimensional omics data with label noise (2015) (39)
- A principled evaluation of ensembles of learning machines for software effort estimation (2011) (39)
- An immigrants scheme based on environmental information for genetic algorithms in changing environments (2008) (39)
- Evolutionary Large-Scale Multiobjective Optimization for Ratio Error Estimation of Voltage Transformers (2020) (39)
- A Preliminary Study on Designing Artiicial Neural Networks Using Co-evolution (1995) (38)
- A multi-agent evolutionary algorithm for software module clustering problems (2017) (38)
- A Memetic Algorithm for test data generation of Object-Oriented software (2007) (38)
- Classification-assisted Differential Evolution for computationally expensive problems (2011) (38)
- Dynamic salting route optimisation using evolutionary computation (2005) (38)
- Cooperative Coevolutionary Algorithm-Based Model Predictive Control Guaranteeing Stability of Multirobot Formation (2015) (37)
- Does Preference Always Help? A Holistic Study on Preference-Based Evolutionary Multiobjective Optimization Using Reference Points (2019) (37)
- On the analysis of average time complexity of estimation of distribution algorithms (2007) (37)
- Sparse Approximation Through Boosting for Learning Large Scale Kernel Machines (2010) (37)
- Diversity exploration and negative correlation learning on imbalanced data sets (2009) (37)
- Evolving materialized views in data warehouse (1999) (36)
- Evolving a cooperative population of neural networks by minimizing mutual information (2001) (36)
- Multiobjective genetic programming for maximizing ROC performance (2014) (35)
- Evolving Neural Network Ensembles by Minimization of Mutual Information (2004) (35)
- Robust Solution of Salting Route Optimisation Using Evolutionary Algorithms (2006) (35)
- On the effects of seeding strategies: a case for search-based multi-objective service composition (2018) (35)
- Robust Optimization Over Time: Problem Difficulties and Benchmark Problems (2015) (35)
- Evolutionary algorithms and the Vertex Cover problem (2007) (35)
- Evolving modular neural networks which generalise well (1997) (34)
- A New Memetic Algorithm With Fitness Approximation for the Defect-Tolerant Logic Mapping in Crossbar-Based Nanoarchitectures (2014) (34)
- When is an estimation of distribution algorithm better than an evolutionary algorithm? (2009) (34)
- Static, Dynamic, and Adaptive Heterogeneity in Distributed Smart Camera Networks (2015) (34)
- A Critical Review of "A Practical Guide to Select Quality Indicators for Assessing Pareto-Based Search Algorithms in Search-Based Software Engineering": Essay on Quality Indicator Selection for SBSE (2018) (33)
- Cooperative Co-Evolutionary Module Identification With Application to Cancer Disease Module Discovery (2016) (33)
- Probabilistic Feature Selection and Classification Vector Machine (2016) (32)
- Community Detection Using Cooperative Co-evolutionary Differential Evolution (2012) (32)
- Using Negative Correlation to Evolve Fault-Tolerant Circuits (2003) (32)
- NichingEDA: Utilizing the diversity inside a population of EDAs for continuous optimization (2008) (32)
- Layered Ensemble Architecture for Time Series Forecasting (2016) (32)
- Using multiple representations in evolutionary algorithms (2000) (32)
- How to Make Best Use of Evolutionary Learning (1996) (32)
- EPNet for Chaotic Time-Series Prediction (1996) (32)
- Online QoS Modeling in the Cloud: A Hybrid and Adaptive Multi-learners Approach (2014) (32)
- Negative Correlation Ensemble Learning for Ordinal Regression (2013) (31)
- Hybrid Evolutionary Approaches to Terminal Assignment in Communications Networks (2005) (31)
- Digital filter design using multiple pareto fronts (2001) (31)
- The Evolution of Connectionist Networks (1994) (31)
- Automatic Discovery of Protein Motifs Using Genetic Programming (2004) (31)
- A Survey of Evolutionary Continuous Dynamic Optimization Over Two Decades—Part B (2021) (31)
- Benchmark Problems for CEC2018 Competition on Dynamic Multiobjective Optimisation (2018) (30)
- Evolutionary framework for the construction of diverse hybrid ensembles (2005) (30)
- Analysing crossover operators by search step size (1997) (30)
- Scaling Up Evolutionary Programming Algorithms (1998) (30)
- Assignment of cells to switches in a cellular mobile network using a hybrid Hopfield network-genetic algorithm approach (2008) (30)
- A Benchmark Generator for Dynamic Permutation-Encoded Problems (2012) (30)
- Combining learning in model space fault diagnosis with data validation/reconstruction: Application to the Barcelona water network (2014) (30)
- Robust Salting Route Optimization Using Evolutionary Algorithms (2007) (30)
- Runtime analysis of the (1 + 1) EA on computing unique input output sequences (2014) (30)
- Direction matters in high-dimensional optimisation (2008) (29)
- Maximizing submodular or monotone approximately submodular functions by multi-objective evolutionary algorithms (2017) (29)
- Selective negative correlation learning approach to incremental learning (2009) (29)
- Heuristic evolution with genetic programming for traveling thief problem (2015) (29)
- Evolutionary Design of Digital Filters With Application to Subband Coding and Data Transmission (2007) (29)
- Learning to be Different: Heterogeneity and Efficiency in Distributed Smart Camera Networks (2013) (29)
- Diversity Guided Evolutionary Programming: A novel approach for continuous optimization (2012) (29)
- Dynamic combinatorial optimisation problems: an analysis of the subset sum problem (2011) (29)
- Uncertainty analysis of wind power probability density forecasting based on cubic spline interpolation and support vector quantile regression (2020) (29)
- The Evolution of Evolutionary Computation (2003) (29)
- The Dynamic Knapsack Problem Revisited: A New Benchmark Problem for Dynamic Combinatorial Optimisation (2009) (28)
- Covariance matrix repairing in Gaussian based EDAs (2007) (28)
- Improved memetic algorithm for Capacitated Arc Routing Problem (2009) (28)
- Towards Designing Neural Network Ensembles by Evolution (1998) (28)
- Multi-colony ant algorithms for the dynamic travelling salesman problem (2014) (28)
- A memetic algorithm for uncertain Capacitated Arc Routing Problems (2013) (28)
- Addressing the EU Sovereign Ratings Using an Ordinal Regression Approach (2013) (28)
- Population Evolvability: Dynamic Fitness Landscape Analysis for Population-Based Metaheuristic Algorithms (2018) (27)
- DiME: A Scalable Disease Module Identification Algorithm with Application to Glioma Progression (2014) (27)
- Constrained Evolutionary Optimization - the penalty function approach (2002) (27)
- An Evolutionary Hyper-heuristic for the Software Project Scheduling Problem (2016) (27)
- Dual population-based incremental learning for problem optimization in dynamic environments (2003) (26)
- Evolutionary algorithms for the project scheduling problem: runtime analysis and improved design (2012) (26)
- Optimal relay placement for lifetime maximization in wireless underground sensor networks (2017) (26)
- Runtime analysis of (1+l) EA on computing unique input output sequences (2007) (26)
- Standing on the shoulders of giants: Seeding search-based multi-objective optimization with prior knowledge for software service composition (2019) (25)
- An Empirical Investigation of the Optimality and Monotonicity Properties of Multiobjective Archiving Methods (2019) (25)
- A Memetic Genetic Programming with decision tree-based local search for classification problems (2011) (25)
- Evolutionary search and constraint violations (2003) (25)
- Evolving neural networks for Hang Seng stock index forecast (2001) (25)
- Constrained Evolutionary Optimization (2003) (25)
- Theoretical Runtime Analyses of Search Algorithms on the Test Data Generation for the Triangle Classification Problem (2008) (25)
- A Parallel Divide-and-Conquer-Based Evolutionary Algorithm for Large-Scale Optimization (2018) (24)
- A Game-Theoretic Approach for Designing Mixed Mutation Strategies (2005) (24)
- Self-optimizing architecture for ensuring Quality Attributes in the cloud (2009) (24)
- Attributes of Dynamic Combinatorial Optimisation (2008) (24)
- Evolutionary Artificial Neural Networks That Learn and Generalise Well (1996) (24)
- Surrogate models in evolutionary single-objective optimization: A new taxonomy and experimental study (2021) (24)
- Evolving Artificial Neural Networks for Medical Applications (1995) (24)
- CamSim: A Distributed Smart Camera Network Simulator (2013) (24)
- An Efficient Recursive Differential Grouping for Large-Scale Continuous Problems (2021) (24)
- Non-uniform mutation rates for problems with unknown solution lengths (2011) (23)
- An Efficient Evolutionary Approach to Parameter Identification in a Building Thermal Model (2012) (23)
- The Role of Degenerate Robustness in the Evolvability of Multi-agent Systems in Dynamic Environments (2010) (23)
- SNR-Constrained Heuristics for Optimizing the Scaling Parameter of Robust Audio Watermarking (2018) (23)
- Which models of the past are relevant to the present? A software effort estimation approach to exploiting useful past models (2016) (23)
- Target shape design optimization by evolving splines (2007) (23)
- What are dynamic optimization problems? (2014) (23)
- Emergence of cooperative coalition in NIPD game with localization of interaction and learning (1999) (23)
- Dynamic Selection of Evolutionary Algorithm Operators Based on Online Learning and Fitness Landscape Metrics (2014) (22)
- Few-Shots Parallel Algorithm Portfolio Construction via Co-Evolution (2021) (22)
- Finding Approximate Solutions to NP-Hard Problems by Neural Networks is Hard (1992) (22)
- A New Evolutionary Algorithm with Structure Mutation for the Maximum Balanced Biclique Problem (2015) (22)
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- Process in Evolutionary Computation, AI'93 and AI'94 Workshops on Evolutionary Computation, Melbourne, Victoria, Australia, November 16, 1993, Armidale, NSW, Australia, November 21-22, 1994, Selected Papers (1995) (0)
- Robust Reinforcement Learning for General Video Game Playing (2020) (0)
- IEEE Transactions on Evolutionary Computation Society Information (2018) (0)
- Evolutionary Ensembles with Negative Correlation Learning : Improving Speciation (0)
- How Good Is Neural Combinatorial Optimization? A Systematic Evaluation on the Traveling Salesman Problem (2022) (0)
- On Finding Approximate Solutions to Hard Problems by Neural Networks (1991) (0)
- A Competitive Co-evolutionary optimization Method for the Dynamic Vehicle Routing Problem (2020) (0)
- A Novel Divide and Conquer based Approach for Large-scale Optimization Problems (2016) (0)
- University of Birmingham Search Based Recommender System Using Many-objective Evolutionary Algorithm (2016) (0)
- Theoretical foundations of evolutionary computation (2008) (0)
- Negatively Correlated Search as a Parallel Exploration Search Strategy (2019) (0)
- 799 Neoantigen-cytokine-chemokine multifunctional natural killer cell engager for immunotherapy of solid tumors (2021) (0)
- Online Parameter Tuned SAHiD Algorithm for Capacitated Arc Routing Problems (2020) (0)
- Keynote speech I: Co-evolutionary learning in game-playing (2015) (0)
- Grid Computing for Evollution Strategies (2004) (0)
- Finding top-K solutions for the decision-maker in multiobjective optimization (2022) (0)
- Analysis of evolutionary algorithms on fitness function with time-linkage property (hot-off-the-press track at GECCO 2021) (2021) (0)
- Editorial Continued Evolution of Evolutionary Computation - Transition to a New Editor-in-Chief (2008) (0)
- A Novel Divide and Conquer Approach for Large-scale Optimization Problems (2016) (0)
- University of Birmingham Mathematical modeling and multi-objective evolutionary algorithms applied to dynamic flexible job shop scheduling problems (2014) (0)
- Optimisation and Learning in Neural Network Learning (2003) (0)
- Big Data Analytics, Data Science and the CIS [President's Message] (2015) (0)
- Exposing market mechanism design trade-offs via multi-objective evolutionary search (2013) (0)
- Success Probability of Exploration: a Concrete Analysis of Learning Efficiency (2016) (0)
- An Extendable Platform for Routing Problem: Optimisation, Evaluation and Solution Visualisation (2020) (0)
- FSDK'02, Proceedings of the 1st International Conference on Fuzzy Systems and Knowledge Discovery: Computational Intelligence for the E-Age, 2 Volumes, November 18-22, 2002, Orchid Country Club, Singapore (2002) (0)
- February 2008 | Ieee Computational Intelligence Magazine 31 (2007) (0)
- Model-based evolutionary algorithms: a short survey (2018) (0)
- Time Complexity of Maximum Matching by an ( N + N ) Evolutionary Algorithm (2006) (0)
- Supplementary Material: On Multiset Selection with Size Constraints (2017) (0)
- University of Birmingham Multi-Line Distance Minimization: A Visualized Many-Objective Test Problem Suite (2018) (0)
- Proceedings of the 14th International Conference on Intelligent Data Engineering and Automated Learning --- IDEAL 2013 - Volume 8206 (2013) (0)
- EcoTrack Improvement Problem Formulation (2005) (0)
- University of Birmingham Dynamic Multi-Objectives Optimization with a Changing Number of Objectives (2017) (0)
- SIRWEC 2006 25 th-27 th March , Turin , ITALY SALTING ROUTE OPTIMISATION USING XRWIS AND EVOLUTIONARY COMPUTATION (2012) (0)
- Algorithm 1 Pseudo-code of the update of CA and DA in Two Arch . (2014) (0)
- University of Birmingham CBCC3 — A contribution-based cooperative coevolutionary algorithm with improved exploration/exploitation balance (2016) (0)
- Average Drift Analysis and Population Scalability (2016) (0)
- November 2014 Message [President's Message] (2014) (0)
- Theory of Randomized Optimization Heuristics (Dagstuhl Seminar 17191) (2017) (0)
- Self-aware Camera Networks : The Challenge of Going Mobile (2017) (0)
- Differential-Critic GAN: Generating What You Want by a Cue of Preferences (2021) (0)
- Recent New Development in Evolutionary Programming (2007) (0)
- A Novel Principal Component Analysis Based Optimisation Algorithm for Engine Calibration (2014) (0)
- Genetic and Evolutionary Computation Series Series Editors (2013) (0)
- Neural Network Ensembles to Determine Growth Multi-classes in Predictive Microbiology (2012) (0)
- A framework for finding robust optimal solutions over time (2012) (0)
- Semisupervised Classification With Cluster (2012) (0)
- Selective Further Learning for Class Imbalanced Incremental Learning (0)
- Competitive Co-evolution for Dynamic Constrained Optimisation (2019) (0)
- Identification and exploration of the pyroptosis-related molecular subtypes of breast cancer by bioinformatics and machine learning. (2022) (0)
- Grid Task Scheduling Algorithm R3Q for Evolving Artificial Neural Networks (2008) (0)
- Evolution Strategies on Desktop Grid Environment Using Scheduling Algorithms RR for Same Length Tasks (2007) (0)
- Ef�cient Resource Allocation in Cooperative Co-evolution for Large-scale Global Optimization (2020) (0)
- Preface (2017) (0)
- How Good Is Neural Combinatorial Optimization? (2022) (0)
- A Growing Story [President's Message] (2015) (0)
- Special Issue on Evolutionary Learning and Optimisation (2007) (0)
- Exploiting Population Information in Evolutionary Learning (1996) (0)
- Evolving, training and designing neural network ensembles (2010) (0)
- Multi-Objective Archiving (2023) (0)
- Supplementary Document of “ Two-Archive Evolutionary Algorithm for Constrained Multi-Objective Optimization ” (2018) (0)
- Automatic Modularization with Speciated Neural Network Ensemble (2002) (0)
- Evolutionary Artiicial Neural Networks 12 (1993) (0)
- Evolving Computational Neural Networks Through Evolutionary Computation (2001) (0)
- Ubiquity symposium: Evolutionary computation and the processes of life: the essence of evolutionary computation (2012) (0)
- Establishment and Validation of a Genetic Label Associated With M2 Macrophage Infiltration to Predict Survival in Colon Cancer Patients and Assist Immunotherapy (2021) (0)
- A Comparison of GAs Penalizing Infeasible Solutions and Repairing Infeasible Solutions on the 0-1 Knapsack Problem (2008) (0)
- Combining Landscape Approximation and Local Searchin Global (1999) (0)
- University of Birmingham Learning time-series data of industrial design optimization using recurrent neural networks (2019) (0)
- A Study of Maximum Matching on Boltzmann Machines (1992) (0)
- An Overview of Evolutionary Computation (1996) (0)
- University of Birmingham Ensembles and locality : insight on improving software effort estimation (2013) (0)
- CIS Society Officers (2015) (0)
- Responsive Multi-population Models for the Dynamic Travelling Thief Problem (2020) (0)
- Adaptive Differential Evolution based on Exploration and Exploitation Control (2021) (0)
- President's Message (2009) (0)
- Newly Elected CIS Administrative Committee Members (2015-2017) [Society Briefs] (2015) (0)
- Optimal Evolutionary Optimization Hyper-parameters to Mimic Human User Behavior (2019) (0)
- IEEE Fellows - Class of 2009 [Society news] (2009) (0)
- University of Birmingham Computational study on effectiveness of knowledge transfer in dynamic multi-objective optimisation (2020) (0)
- How powerful is your evolutionary, algorithm? (2004) (0)
- Evolutionary Search of Approximated N-dimensional Landscapes (2008) (0)
- 1 So ware E ort Interval Prediction via Bayesian Inference and Synthetic Bootstrap Resampling (2018) (0)
- Simulated evolution and learning : First Asia-Pacific Conference, SEAL'96, Taejon, Korea, November 9-12, 1996 : selected papers (1997) (0)
- From Evolutionary Computation to Natural Computation (2002) (0)
- Make Fast Evolutionary Programming Robust by Search Step Control (2006) (0)
- Evolving Materialized Views in Data (1999) (0)
- Chapter 15 Evolutionary Computation for Dynamic Capacitated Arc Routing Problem (2013) (0)
- 50th Anniversary of Fuzzy Logic [President's Message] (2015) (0)
- Newly Elected CIS Administrative Committee Members (2014?2016) [Society Briefs] (2014) (0)
- For Peer Review Analysis of Scalability in Population-based Evolutionary Algorithms for Linear-like Fitness Functions (2010) (0)
- University of Birmingham When and How to Transfer Knowledge in Dynamic Multi-Objective Optimisation (2019) (0)
- Computational Intelligence for Software Engineering (NII Shonan Meeting 2014-13) (2014) (0)
- Coexistence of Primary Sjögren’s Syndrome and Autoimmune Gastritis With Pernicious Anemia and Subacute Combined Degeneration of the Spinal Cord: Case Report and Literature Review (2022) (0)
- Identification of the cuproptosis-related molecular subtypes and an immunotherapy prognostic model in hepatocellular carcinoma (2022) (0)
- Search Step Size Control In Fast Evolutionary Programming (2002) (0)
- Tutorial 7—Adaptive Business Intelligence - Evolutionary Computation for Real World (2007) (0)
- Means to an End Is Not the Same as the End Itself [President's Message] (2015) (0)
- Selected papers from the AI'93 and AI'94 Workshops on Evolutionary Computation, Process in Evolutionary Computation (1993) (0)
- President?s Greeting [President's Message] (2014) (0)
- Implementing Negative Correlation Learning in Evolutionary Ensembles with Suitable Speciation Techniques (2008) (0)
- A Four-Immune Gene Prognostic Risk Model for Colorectal Adenocarcinoma Based on the TCGA and Immport Data Sets (2020) (0)
- A multi-agent evolutionary algorithm for software module clustering problems (2016) (0)
- Cognitive Fault Diagnosis in Tennessee Eastman Process (2014) (0)
- The time complexity analysis of a class of gene expression programming (2014) (0)
- Parallel Evolution of Cascade Structures (2021) (0)
- Evolving parsimonious circuits through shapley value-based genetic programming (2022) (0)
- Genetic Programming Bloat without Semantics (2000) (0)
- Variable Interactions in Multi-Objective Optimization Problems ∗ (2016) (0)
- Robust Optimization with Multiple Solutions (2015) (0)
- Theory of Randomized Optimization Heuristics (2017) (0)
- A Selected Introduction to Evolutionary Computation (2005) (0)
- Average Drift Analysis and Population Scalability (2017) (0)
- Evolution Strategies on Local Desktop Grid Environment using Task Scheduling Algorithms RR (2006) (0)
- Multi-micro processor-array: EHW for a control system (2003) (0)
- Evolving artificial neural networks : Special issue on computational intelligence (1999) (0)
- A Coevolutionary Approach to Experience-based Optimization (2018) (0)
- IEEE CIFEr 2014 - Leading Forum on Computational Finance and Economics Research in Academia and Industry [Conference Reports] (2014) (0)
- A Review of Concurrent Optimization Methods (2013) (0)
- Research Student Monitoring Group (2004) (0)
- Efficient Forward Regression with Marginal Likelihood (2006) (0)
- Theory of Randomized Optimization Heuristics (Dagstuhl Reports 19431) (2019) (0)
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What Schools Are Affiliated With Xin Yao?
Xin Yao is affiliated with the following schools: