IEEE Transactions on Evolutionary Computation

Papers
(The median citation count of IEEE Transactions on Evolutionary Computation is 3. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)
ArticleCitations
A Coevolutionary Framework for Constrained Multiobjective Optimization Problems353
A Survey on the Hypervolume Indicator in Evolutionary Multiobjective Optimization182
A Survey on Evolutionary Constrained Multiobjective Optimization133
A Kriging-Assisted Two-Archive Evolutionary Algorithm for Expensive Many-Objective Optimization133
A Dual-Population-Based Evolutionary Algorithm for Constrained Multiobjective Optimization127
Surrogate-Assisted Evolutionary Multitask Genetic Programming for Dynamic Flexible Job Shop Scheduling125
Knee Point-Based Imbalanced Transfer Learning for Dynamic Multiobjective Optimization124
An Evolutionary Multitasking Optimization Framework for Constrained Multiobjective Optimization Problems121
Multiobjective Evolutionary Design of Deep Convolutional Neural Networks for Image Classification117
Multimodal Multiobjective Evolutionary Optimization With Dual Clustering in Decision and Objective Spaces108
Investigating the Properties of Indicators and an Evolutionary Many-Objective Algorithm Using Promising Regions105
A Cooperative Memetic Algorithm With Learning-Based Agent for Energy-Aware Distributed Hybrid Flow-Shop Scheduling104
SAFE: Scale-Adaptive Fitness Evaluation Method for Expensive Optimization Problems95
An Enhanced Competitive Swarm Optimizer With Strongly Convex Sparse Operator for Large-Scale Multiobjective Optimization93
Weighted Indicator-Based Evolutionary Algorithm for Multimodal Multiobjective Optimization92
Evolutionary Multitasking for Feature Selection in High-Dimensional Classification via Particle Swarm Optimization91
Large-Scale Evolutionary Multiobjective Optimization Assisted by Directed Sampling90
Dual-Surrogate-Assisted Cooperative Particle Swarm Optimization for Expensive Multimodal Problems85
A Meta-Knowledge Transfer-Based Differential Evolution for Multitask Optimization80
A Classifier-Assisted Level-Based Learning Swarm Optimizer for Expensive Optimization80
A Duplication Analysis-Based Evolutionary Algorithm for Biobjective Feature Selection79
Adaptive Genetic Algorithm-Aided Neural Network With Channel State Information Tensor Decomposition for Indoor Localization76
Region Encoding Helps Evolutionary Computation Evolve Faster: A New Solution Encoding Scheme in Particle Swarm for Large-Scale Optimization73
A Multipopulation Evolutionary Algorithm for Solving Large-Scale Multimodal Multiobjective Optimization Problems73
Learning Adaptive Differential Evolution Algorithm From Optimization Experiences by Policy Gradient71
Indicator-Based Evolutionary Algorithm for Solving Constrained Multiobjective Optimization Problems66
Surrogate-Assisted Autoencoder-Embedded Evolutionary Optimization Algorithm to Solve High-Dimensional Expensive Problems64
A Survey of Evolutionary Continuous Dynamic Optimization Over Two Decades—Part B64
A Review on Evolutionary Multitask Optimization: Trends and Challenges63
A Survey on Evolutionary Construction of Deep Neural Networks62
Solving Multitask Optimization Problems With Adaptive Knowledge Transfer via Anomaly Detection62
Evolutionary Game Analysis Among Three Green-Sensitive Parties in Green Supply Chains61
A Survey of Evolutionary Continuous Dynamic Optimization Over Two Decades—Part A61
MO4: A Many-Objective Evolutionary Algorithm for Protein Structure Prediction61
Evolutionary Multiform Optimization With Two-Stage Bidirectional Knowledge Transfer Strategy for Point Cloud Registration59
Hierarchy Ranking Method for Multimodal Multiobjective Optimization With Local Pareto Fronts58
Dynamic Auxiliary Task-Based Evolutionary Multitasking for Constrained Multiobjective Optimization58
AS-NAS: Adaptive Scalable Neural Architecture Search With Reinforced Evolutionary Algorithm for Deep Learning56
Multiple Penalties and Multiple Local Surrogates for Expensive Constrained Optimization56
An Efficient Recursive Differential Grouping for Large-Scale Continuous Problems54
Landscape-Aware Performance Prediction for Evolutionary Multiobjective Optimization54
A Learning-Based Memetic Algorithm for Energy-Efficient Flexible Job-Shop Scheduling With Type-2 Fuzzy Processing Time53
Generating Well-Spaced Points on a Unit Simplex for Evolutionary Many-Objective Optimization52
Correlation Coefficient-Based Recombinative Guidance for Genetic Programming Hyperheuristics in Dynamic Flexible Job Shop Scheduling52
A Grid-Based Inverted Generational Distance for Multi/Many-Objective Optimization50
A Fast Kriging-Assisted Evolutionary Algorithm Based on Incremental Learning50
Genetic Programming With Image-Related Operators and a Flexible Program Structure for Feature Learning in Image Classification49
Paired Offspring Generation for Constrained Large-Scale Multiobjective Optimization49
A Greedy Cooperative Co-Evolutionary Algorithm With Problem-Specific Knowledge for Multiobjective Flowshop Group Scheduling Problems49
Efficient Evolutionary Search of Attention Convolutional Networks via Sampled Training and Node Inheritance48
Regularized Evolutionary Multitask Optimization: Learning to Intertask Transfer in Aligned Subspace47
Evolutionary Many-Task Optimization Based on Multisource Knowledge Transfer47
Knee-Based Decision Making and Visualization in Many-Objective Optimization47
Identifying Influential Spreaders in Social Networks Through Discrete Moth-Flame Optimization46
A Novel Dual-Stage Dual-Population Evolutionary Algorithm for Constrained Multiobjective Optimization46
Correlation-Guided Updating Strategy for Feature Selection in Classification With Surrogate-Assisted Particle Swarm Optimization46
Differential Evolution-Based Feature Selection: A Niching-Based Multiobjective Approach46
A Review of Population-Based Metaheuristics for Large-Scale Black-Box Global Optimization—Part I46
Evolutionary Neural Architecture Search for High-Dimensional Skip-Connection Structures on DenseNet Style Networks46
A Hybrid Deep Grouping Algorithm for Large Scale Global Optimization45
Clustering-Guided Particle Swarm Feature Selection Algorithm for High-Dimensional Imbalanced Data With Missing Values45
A Unified Framework of Graph-Based Evolutionary Multitasking Hyper-Heuristic45
Convolutional Neural Networks-Based Lung Nodule Classification: A Surrogate-Assisted Evolutionary Algorithm for Hyperparameter Optimization44
Multipopulation Ant Colony System With Knowledge-Based Local Searches for Multiobjective Supply Chain Configuration44
Multiple Classifiers-Assisted Evolutionary Algorithm Based on Decomposition for High-Dimensional Multiobjective Problems43
Expensive Multiobjective Optimization by Relation Learning and Prediction43
Learnable Evolutionary Search Across Heterogeneous Problems via Kernelized Autoencoding43
A Survey of Normalization Methods in Multiobjective Evolutionary Algorithms43
Constrained Multiobjective Optimization: Test Problem Construction and Performance Evaluations42
Objective Space-Based Population Generation to Accelerate Evolutionary Algorithms for Large-Scale Many-Objective Optimization42
A Surrogate-Assisted Evolutionary Feature Selection Algorithm With Parallel Random Grouping for High-Dimensional Classification42
Multiobjective Multitask Optimization-Neighborhood as a Bridge for Knowledge Transfer41
Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance Assessment41
Does Preference Always Help? A Holistic Study on Preference-Based Evolutionary Multiobjective Optimization Using Reference Points40
Two-Stage Double Niched Evolution Strategy for Multimodal Multiobjective Optimization38
Real-Time Federated Evolutionary Neural Architecture Search37
Evolutionary Multitask Optimization With Adaptive Knowledge Transfer37
Learning to Accelerate Evolutionary Search for Large-Scale Multiobjective Optimization37
A Multivariation Multifactorial Evolutionary Algorithm for Large-Scale Multiobjective Optimization37
A Review of Population-Based Metaheuristics for Large-Scale Black-Box Global Optimization—Part II36
Learning-Aided Evolution for Optimization36
Sharp Bounds for Genetic Drift in Estimation of Distribution Algorithms35
SFE: A Simple, Fast, and Efficient Feature Selection Algorithm for High-Dimensional Data35
An Ensemble Surrogate-Based Framework for Expensive Multiobjective Evolutionary Optimization35
A General Dichotomy of Evolutionary Algorithms on Monotone Functions35
PSO-X: A Component-Based Framework for the Automatic Design of Particle Swarm Optimization Algorithms34
Explainable Artificial Intelligence by Genetic Programming: A Survey34
A Voting-Mechanism-Based Ensemble Framework for Constraint Handling Techniques34
A Fuzzy Decision Variables Framework for Large-Scale Multiobjective Optimization34
A Variable Granularity Search-Based Multiobjective Feature Selection Algorithm for High-Dimensional Data Classification33
A Novel Training Protocol for Performance Predictors of Evolutionary Neural Architecture Search Algorithms33
Neural Architecture Search Based on a Multi-Objective Evolutionary Algorithm With Probability Stack33
A New Many-Objective Evolutionary Algorithm Based on Determinantal Point Processes32
A Multiobjective Evolutionary Algorithm for Finding Knee Regions Using Two Localized Dominance Relationships32
A Knowledge Guided Transfer Strategy for Evolutionary Dynamic Multiobjective Optimization31
Self-Adjusting Multitask Particle Swarm Optimization31
Orthogonal Transfer for Multitask Optimization31
Expensive Multiobjective Evolutionary Optimization Assisted by Dominance Prediction31
A Review on Convolutional Neural Network Encodings for Neuroevolution30
An Approximated Gradient Sign Method Using Differential Evolution for Black-Box Adversarial Attack30
From Prediction to Prescription: Evolutionary Optimization of Nonpharmaceutical Interventions in the COVID-19 Pandemic30
A Computationally Efficient Evolutionary Algorithm for Multiobjective Network Robustness Optimization29
Survey on Genetic Programming and Machine Learning Techniques for Heuristic Design in Job Shop Scheduling29
Surrogate Sample-Assisted Particle Swarm Optimization for Feature Selection on High-Dimensional Data29
Few-Shots Parallel Algorithm Portfolio Construction via Co-Evolution29
Significance-Based Estimation-of-Distribution Algorithms29
A Survey on Knee-Oriented Multiobjective Evolutionary Optimization29
Evolutionary Machine Learning With Minions: A Case Study in Feature Selection28
A Framework for Scalable Bilevel Optimization: Identifying and Utilizing the Interactions Between Upper-Level and Lower-Level Variables28
Evolving Deep Convolutional Variational Autoencoders for Image Classification28
An Online Prediction Approach Based on Incremental Support Vector Machine for Dynamic Multiobjective Optimization28
Enhanced Constraint Handling for Reliability-Constrained Multiobjective Testing Resource Allocation28
A Survey on Evolutionary Multiobjective Feature Selection in Classification: Approaches, Applications, and Challenges27
Genetic Programming With Niching for Uncertain Capacitated Arc Routing Problem27
A Comprehensive Survey on Program Synthesis With Evolutionary Algorithms27
Adaptive Multifactorial Evolutionary Optimization for Multitask Reinforcement Learning27
Empirical Linkage Learning27
Gene Targeting Differential Evolution: A Simple and Efficient Method for Large-Scale Optimization27
Variable Population Memetic Search: A Case Study on the Critical Node Problem26
Confidence-Based Ant Colony Optimization for Capacitated Electric Vehicle Routing Problem With Comparison of Different Encoding Schemes26
Evolutionary Multitasking for Large-Scale Multiobjective Optimization26
Partial Evaluation Strategies for Expensive Evolutionary Constrained Optimization25
A Correlation-Guided Layered Prediction Approach for Evolutionary Dynamic Multiobjective Optimization25
Distributed and Expensive Evolutionary Constrained Optimization With On-Demand Evaluation25
Distributed Co-Evolutionary Memetic Algorithm for Distributed Hybrid Differentiation Flowshop Scheduling Problem25
A Competitive and Cooperative Swarm Optimizer for Constrained Multiobjective Optimization Problems25
A Stochastic Simulation Optimization-Based Range Gate Pull-Off Jamming Method25
CDE-GAN: Cooperative Dual Evolution-Based Generative Adversarial Network24
A First Runtime Analysis of the NSGA-II on a Multimodal Problem24
Evolutionary Competitive Multitasking Optimization24
Multiple Populations for Multiple Objectives Framework With Bias Sorting for Many-Objective Optimization23
Merged Differential Grouping for Large-Scale Global Optimization23
On the Effect of the Cooperation of Indicator-Based Multiobjective Evolutionary Algorithms23
A Diversity-Enhanced Subset Selection Framework for Multimodal Multiobjective Optimization23
A Bi-Objective Knowledge Transfer Framework for Evolutionary Many-Task Optimization23
Realistic Constrained Multiobjective Optimization Benchmark Problems From Design23
Dynamic Transfer Reference Point-Oriented MOEA/D Involving Local Objective-Space Knowledge23
Task Allocation on Layered Multiagent Systems: When Evolutionary Many-Objective Optimization Meets Deep Q-Learning23
Surrogate-Assisted Differential Evolution With Adaptive Multisubspace Search for Large-Scale Expensive Optimization22
Two-Stage Evolutionary Neural Architecture Search for Transfer Learning22
A Survey on Evolutionary Computation for Computer Vision and Image Analysis: Past, Present, and Future Trends22
A Survey on Learnable Evolutionary Algorithms for Scalable Multiobjective Optimization22
Evolutionary Search With Multiview Prediction for Dynamic Multiobjective Optimization22
Evolutionary Large-Scale Multiobjective Optimization: Benchmarks and Algorithms21
Evolutionary Deep Fusion Method and its Application in Chemical Structure Recognition21
A Divide-and-Conquer Genetic Programming Algorithm With Ensembles for Image Classification21
Elite Archive-Assisted Adaptive Memetic Algorithm for a Realistic Hybrid Differentiation Flowshop Scheduling Problem20
Evolutionary Optimization of COVID-19 Vaccine Distribution With Evolutionary Demands20
A Performance Indicator-Based Infill Criterion for Expensive Multi-/Many-Objective Optimization20
Binary Relation Learning and Classifying for Preselection in Evolutionary Algorithms20
Offline and Online Objective Reduction via Gaussian Mixture Model Clustering20
Automated Design of Metaheuristics Using Reinforcement Learning Within a Novel General Search Framework20
Evolutionary Search for Complete Neural Network Architectures With Partial Weight Sharing20
Evolutionary Sampling Agent for Expensive Problems20
An Evolutionary Forest for Regression20
Learning Optimality Theory for Accuracy-Based Learning Classifier Systems20
An Evolutionary Multitasking Algorithm With Multiple Filtering for High-Dimensional Feature Selection19
Multiobjective Differential Evolution With Speciation for Constrained Multimodal Multiobjective Optimization19
A Multiobjective Multitask Optimization Algorithm Using Transfer Rank19
Transfer Learning-Based Parallel Evolutionary Algorithm Framework for Bilevel Optimization19
A Multistage Algorithm for Solving Multiobjective Optimization Problems With Multiconstraints18
A Large-Scale Combinatorial Many-Objective Evolutionary Algorithm for Intensity-Modulated Radiotherapy Planning18
Task Relatedness-Based Multitask Genetic Programming for Dynamic Flexible Job Shop Scheduling18
Reducing Negative Transfer Learning via Clustering for Dynamic Multiobjective Optimization18
Fast Greedy Subset Selection From Large Candidate Solution Sets in Evolutionary Multiobjective Optimization18
A Multitask Bee Colony Band Selection Algorithm With Variable-Size Clustering for Hyperspectral Images18
A Learning-Based Multipopulation Evolutionary Optimization for Flexible Job Shop Scheduling Problem With Finite Transportation Resources18
A Scalable Many-Objective Pathfinding Benchmark Suite18
Hybridization of Evolutionary Algorithm and Deep Reinforcement Learning for Multiobjective Orienteering Optimization17
Ensemble of Dynamic Resource Allocation Strategies for Decomposition-Based Multiobjective Optimization17
Enhanced Innovized Progress Operator for Evolutionary Multi- and Many-Objective Optimization17
Multitask Shape Optimization Using a 3-D Point Cloud Autoencoder as Unified Representation17
Black-Box Optimization Revisited: Improving Algorithm Selection Wizards Through Massive Benchmarking17
Particle Swarm Optimization for Compact Neural Architecture Search for Image Classification17
Learning and Sharing: A Multitask Genetic Programming Approach to Image Feature Learning17
Dual-Tree Genetic Programming for Few-Shot Image Classification16
Random Contrastive Interaction for Particle Swarm Optimization in High-Dimensional Environment16
Parallel Black-Box Complexity With Tail Bounds16
Frames-of-Reference-Based Learning: Overcoming Perceptual Aliasing in Multistep Decision-Making Tasks16
Automating Genetic Algorithm Mutations for Molecules Using a Masked Language Model16
Large-Scale Multiobjective Optimization via Reformulated Decision Variable Analysis16
Unsupervised Behavior Discovery With Quality-Diversity Optimization15
Process Knowledge-Guided Autonomous Evolutionary Optimization for Constrained Multiobjective Problems15
A Genetic Algorithm (GA) and Swarm-Based Binary Decision Diagram (BDD) Reordering Optimizer Reinforced With Recent Operators15
Interaction-Based Prediction for Dynamic Multiobjective Optimization15
Cooperative Coevolution With Knowledge-Based Dynamic Variable Decomposition for Bilevel Multiobjective Optimization15
CoEA: A Cooperative–Competitive Evolutionary Algorithm for Bidirectional Recommendations15
Population Diversity of Nonelitist Evolutionary Algorithms in the Exploration Phase15
Region Purity-Based Local Feature Selection: A Multiobjective Perspective15
BenchENAS: A Benchmarking Platform for Evolutionary Neural Architecture Search14
A Visualizable Test Problem Generator for Many-Objective Optimization14
Feature Extraction for Recommendation of Constrained Multiobjective Evolutionary Algorithms14
Surrogate-Assisted Differential Evolution With Region Division for Expensive Optimization Problems With Discontinuous Responses14
Knowledge Learning for Evolutionary Computation14
Solving the Single-Row Facility Layout Problem by K-Medoids Memetic Permutation Group14
SR-Forest: A Genetic Programming-Based Heterogeneous Ensemble Learning Method13
Instance-Rotation-Based Surrogate in Genetic Programming With Brood Recombination for Dynamic Job-Shop Scheduling13
QED: Using Quality-Environment-Diversity to Evolve Resilient Robot Swarms13
Solution of Large-Scale Many-Objective Optimization Problems Based on Dimension Reduction and Solving Knowledge-Guided Evolutionary Algorithm13
Constrained Multiobjective Optimization via Multitasking and Knowledge Transfer13
Anytime Performance Assessment in Blackbox Optimization Benchmarking13
Multitree Genetic Programming With New Operators for Transfer Learning in Symbolic Regression With Incomplete Data13
Evolutionary Multitasking for Optimization Based on Generative Strategies13
Recombinator-k-Means: An Evolutionary Algorithm That Exploits k-Means++ for Recombination13
Obfuscating Community Structure in Complex Network With Evolutionary Divide-and-Conquer Strategy13
Investigating the Correlation Amongst the Objective and Constraints in Gaussian Process-Assisted Highly Constrained Expensive Optimization13
Robust Multimodal Representation Learning With Evolutionary Adversarial Attention Networks13
Region-Focused Memetic Algorithms With Smart Initialization for Real-World Large-Scale Waste Collection Problems12
Accurate Multiobjective Low-Rank and Sparse Model for Hyperspectral Image Denoising Method12
Solving Multiobjective Feature Selection Problems in Classification via Problem Reformulation and Duplication Handling12
Pareto-Wise Ranking Classifier for Multiobjective Evolutionary Neural Architecture Search12
Automated Configuration of Genetic Algorithms by Tuning for Anytime Performance12
Evolutionary Sequential Transfer Optimization for Objective-Heterogeneous Problems12
Fast Immune System-Inspired Hypermutation Operators for Combinatorial Optimization12
A Constrained Competitive Swarm Optimizer With an SVM-Based Surrogate Model for Feature Selection12
Multisource Neighborhood Immune Detector Adaptive Model for Anomaly Detection12
An Evolutionary Multiobjective Framework for Complex Network Reconstruction Using Community Structure12
A Multi-Objective Genetic Programming Algorithm With α Dominance and Archive for Uncertain Capacitated Arc Routing Problem12
Batched Data-Driven Evolutionary Multiobjective Optimization Based on Manifold Interpolation12
Adaptive Multilevel Prediction Method for Dynamic Multimodal Optimization12
Analysis of Evolutionary Algorithms on Fitness Function With Time-Linkage Property11
Ensemble of Domain Adaptation-Based Knowledge Transfer for Evolutionary Multitasking11
Benchmarking Feature-Based Algorithm Selection Systems for Black-Box Numerical Optimization11
Solving Mixed Pareto-Lexicographic Multiobjective Optimization Problems: The Case of Priority Levels11
BIAS: A Toolbox for Benchmarking Structural Bias in the Continuous Domain11
MMES: Mixture Model-Based Evolution Strategy for Large-Scale Optimization11
Genetic Programming With Knowledge Transfer and Guided Search for Uncertain Capacitated Arc Routing Problem11
Mitigating Unfairness via Evolutionary Multiobjective Ensemble Learning11
An Efficient Adaptive Differential Grouping Algorithm for Large-Scale Black-Box Optimization11
Autoencoding With a Classifier System11
Preserving Population Diversity Based on Transformed Semantics in Genetic Programming for Symbolic Regression11
Genetic Programming for Image Classification: A New Program Representation With Flexible Feature Reuse11
Surrogate-Assisted Evolutionary Q-Learning for Black-Box Dynamic Time-Linkage Optimization Problems11
Interindividual Correlation and Dimension-Based Dual Learning for Dynamic Multiobjective Optimization11
A Multipopulation Evolutionary Algorithm Using New Cooperative Mechanism for Solving Multiobjective Problems With Multiconstraint11
Static and Dynamic Multimodal Optimization by Improved Covariance Matrix Self-Adaptation Evolution Strategy With Repelling Subpopulations11
Community Detection in Multiplex Networks Based on Evolutionary Multitask Optimization and Evolutionary Clustering Ensemble10
An Expensive Many-Objective Optimization Algorithm Based on Efficient Expected Hypervolume Improvement10
Memristor Parallel Computing for a Matrix-Friendly Genetic Algorithm10
Characterizing Genetic Programming Error Through Extended Bias and Variance Decomposition10
PRE-NAS: Evolutionary Neural Architecture Search With Predictor10
Improved Evolutionary Operators for Sparse Large-Scale Multiobjective Optimization Problems10
Empirical Comparison of Search Heuristics for Genetic Improvement of Software10
A Localized High-Fidelity-Dominance-Based Many-Objective Evolutionary Algorithm10
Solution Transfer in Evolutionary Optimization: An Empirical Study on Sequential Transfer10
EDA++: Estimation of Distribution Algorithms With Feasibility Conserving Mechanisms for Constrained Continuous Optimization10
Robust Optimization Over Time by Estimating Robustness of Promising Regions10
CarHoods10k: An Industry-Grade Data Set for Representation Learning and Design Optimization in Engineering Applications10
Multifactorial Evolutionary Algorithm Based on Improved Dynamical Decomposition for Many-Objective Optimization Problems10
An Evolutionary Multiobjective Knee-Based Lower Upper Bound Estimation Method for Wind Speed Interval Forecast10
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