IEEE Transactions on Evolutionary Computation

Papers
(The median citation count of IEEE Transactions on Evolutionary Computation is 5. 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 2022-01-01 to 2026-01-01.)
ArticleCitations
TechRxiv: Share Your Preprint Research with the World!293
Data-Driven Evolutionary Computation Under Continuously Streaming Environments: A Drift-Aware Approach230
Brain-Inspired Multiscale Evolutionary Neural Architecture Search for Deep Spiking Neural Networks189
Revisiting Implicit and Explicit Averaging for Noisy Optimization179
Space Net Optimization for Single Objective Bound Constrained Problems167
Dual Relational Surrogate-Assisted Evolution for Expensive Constrained Multiobjective Optimization151
Surrogate-Assisted Efficient Grouping Evolutionary Search for Expensive Large-Scale Multi-Objective Optimization150
Quality Indicators for Preference-Based Evolutionary Multiobjective Optimization Using a Reference Point: A Review and Analysis147
A Bi-Objective Evolutionary Algorithm for Multimodal Multiobjective Optimization141
MORA-LLM: Enhancing Multi-Objective Optimization Recommendation Algorithm by Integrating Large Language Models141
Multiagent Swarm Optimization With Adaptive Internal and External Learning for Complex Consensus-Based Distributed Optimization126
Bayesian Performance Analysis for Algorithm Ranking Comparison122
Table of Contents120
IEEE Transactions on Evolutionary Computation Publication Information116
ENERGIZE: A Neuroevolution Framework for Energy-Efficient Machine Learning110
EDA++: Estimation of Distribution Algorithms With Feasibility Conserving Mechanisms for Constrained Continuous Optimization107
BIAS: A Toolbox for Benchmarking Structural Bias in the Continuous Domain106
Difficulties of the NSGA-II With the Many-Objective LeadingOnes Problem105
Knowledge Transfer With Mixture Model in Dynamic Multiobjective Optimization103
Dynamic Multi-Objective Optimisation Based on Vector Autoregressive Evolution100
Approximation Guarantees for the Nondominated Sorting Genetic Algorithm II (NSGA-II)100
Adversarial AutoEncoder-Based Large-Scale Dynamic Multiobjective Evolutionary Algorithm96
Evolutionary Constrained Multiobjective Optimization: Scalable High-Dimensional Constraint Benchmarks and Algorithm95
A Correlation-Guided Layered Prediction Approach for Evolutionary Dynamic Multiobjective Optimization94
A Review on Evolutionary Multitask Optimization: Trends and Challenges94
A Deep Reinforcement Learning-Assisted Multimodal Multiobjective Bilevel Optimization Method for Multirobot Task Allocation91
Survey on Genetic Programming and Machine Learning Techniques for Heuristic Design in Job Shop Scheduling88
Evolutionary Search for Complete Neural Network Architectures With Partial Weight Sharing88
Multipopulation Ant Colony System With Knowledge-Based Local Searches for Multiobjective Supply Chain Configuration85
A Surrogate-Assisted Evolutionary Feature Selection Algorithm With Parallel Random Grouping for High-Dimensional Classification83
Genetic Programming for Dynamic Flexible Job Shop Scheduling: Evolution With Single Individuals and Ensembles82
Table of Contents81
Table of Contents79
Unsupervised Band Selection for Hyperspectral Images Classification: Particle Swarm Optimization via Cross-Domain Knowledge Transfer77
IEEE Transactions on Evolutionary Computation Information for Authors76
Enhancing 3-D Land Seismic Data Using Nonlinear Beamforming Based on the Efficiency-Improved Genetic Algorithm76
Data-Driven Dynamic Multiobjective Optimization With Response to Stochastic Changes for Municipal Solid Waste Incineration Process76
Many-to-Few Decomposition: Linking R2-Based and Decomposition-Based Multiobjective Efficient Global Optimization Algorithms76
A Large-Scale Multiobjective Evolutionary Quantile Estimation Model for Wind Power Probabilistic Forecasting75
Plotting Impossible? Surveying Visualization Methods for Continuous Multi-Objective Benchmark Problems75
Controlling Functional Complexity for Overfitting Reduction and Improved Interpretability in GP75
A Subspace Sparsity-Driven Knowledge Transfer Strategy for Dynamic Constrained Multiobjective Optimization74
Efficient Greedy Decremental Hypervolume Subset Selection Using Space Partition Tree73
Frequency Fitness Assignment: Optimization Without Bias for Good Solutions Can Be Efficient72
Fitness Landscape Optimization Makes Stochastic Symbolic Search by Genetic Programming Easier71
Multitree Genetic Programming for Learning Color and Multiscale Features in Image Classification71
A Unified Innovized Progress Operator for Performance Enhancement in Evolutionary Multi- and Many-Objective Optimization71
POGP: Probabilistic Genetic Programming With Knowledge Learning for Few-Shot Image Classification70
Binary-to-Decimal Encoding-Based Performance Predictor for Evolutionary Graph Fusion Architecture Search and Applications to Medical Data70
Enhancing Dynamic Constrained Multiobjective Optimization With Multicenters-Based Prediction69
Decomposition-Based Multiobjective Optimization Algorithms With Adaptively Adjusting Weight Vectors and Neighborhoods69
A Distributed Model Predictive Control-Based Method for Multidifferent-Target Search in Unknown Environments67
A Variable Granularity Search-Based Multiobjective Feature Selection Algorithm for High-Dimensional Data Classification65
Adaptive Multifactorial Evolutionary Optimization for Multitask Reinforcement Learning65
Language Model Evolutionary Algorithms for Recommender Systems: Benchmarks and Algorithm Comparisons64
MedNAS: Multiscale Training-Free Neural Architecture Search for Medical Image Analysis64
Introducing IEEE Collabratec63
IEEE Transactions on Evolutionary Computation Publication Information63
TechRxiv: Share Your Preprint Research with the World!63
Evolutionary Computation for the Design and Enrichment of General-Purpose Artificial Intelligence Systems: Survey and Prospects62
IEEE Transactions on Evolutionary Computation Publication Information61
A Size-Imbalanced Dual Population with Complementary Search for Sparse Large-Scale Multi-Modal Multi-Objective Optimization60
Spatial-Temporal Knowledge Transfer for Dynamic Constrained Multiobjective Optimization59
Surrogate-Assisted Evolutionary Algorithm for Expensive Optimization with Equality and Inequality Constraints59
Objective Space-Based Population Generation to Accelerate Evolutionary Algorithms for Large-Scale Many-Objective Optimization59
EGANS: Evolutionary Generative Adversarial Network Search for Zero-Shot Learning57
An Efficient Adaptive Differential Grouping Algorithm for Large-Scale Black-Box Optimization57
A Global and Local Surrogate-Assisted Genetic Programming Approach to Image Classification56
DG-SMOTE: A Distance-Angle-Based Genetic Synthetic Minority Over-Sampling Technique for Unbalanced Data Learning55
A Knowledge Guided Transfer Strategy for Evolutionary Dynamic Multiobjective Optimization54
Learning-Based Temporal Sequence of Constrained Handling Selection for Constrained Multi-objective Evolutionary Optimization53
Historical Information-Assisted Dynamic Response Integration and Adaptive Niche Methods for Dynamic Multimodal Optimization53
IEEE Transactions on Evolutionary Computation Information for Authors52
Superpixel Segmentation-Based Evolutionary Multitasking Algorithm for Feature Selection of Hyperspectral Images52
IEEE Transactions on Evolutionary Computation Publication Information51
IEEE Computational Intelligence Society Information51
IEEE Transactions on Evolutionary Computation Information for Auhtors51
An Interval Multiobjective Evolutionary Generation Algorithm for Product Design Change Plans in Uncertain Environments50
Gradual Innovative Transitional Solutions Improving Current to a Desired Target: Innovation Path50
Visualizing Population Dynamics to Examine Algorithm Performance50
A Decomposition-Based Evolutionary Algorithm With Clustering and Hierarchical Estimation for Multi-Objective Fuzzy Flexible Jobshop Scheduling48
A Multiobjective Multitask Optimization Algorithm Using Transfer Rank47
Solving Multiobjective Feature Selection Problems in Classification via Problem Reformulation and Duplication Handling47
Conditional-Surrogate-Assisted Particle Swarm Optimization for Large-Scale Robust Optimization Over Time46
Benchmarking Feature-Based Algorithm Selection Systems for Black-Box Numerical Optimization45
Optimal Transport-Based Distributional Pairing in Transfer Multiobjective Optimization45
Multiobjective-Based Constraint-Handling Technique for Evolutionary Constrained Multiobjective Optimization: A New Perspective45
A Surrogate-Assisted Constrained Optimization Evolutionary Algorithm by Searching Multiple Kinds of Global and Local Regions45
Nonzero Degree-Based Multiobjective Cooperative Coevolutionary for Block Sparse Recovery45
Expensive Multiobjective Evolutionary Optimization Assisted by Dominance Prediction44
Distributed Co-Evolutionary Memetic Algorithm for Distributed Hybrid Differentiation Flowshop Scheduling Problem44
An Evolutionary Algorithm Based on CMSA for Rooted Max Tree Coverage42
Objective-Constraint Mutual-Guided Surrogate-Based Particle Swarm Optimization for Expensive Constrained Multimodal Problems42
A Novel Dual-Stage Dual-Population Evolutionary Algorithm for Constrained Multiobjective Optimization41
Multi-Task Surrogate-Assisted Search With Bayesian Competitive Knowledge Transfer for Expensive Optimization41
Semiparametric Estimation of Distribution Algorithms for Continuous Optimization40
A Tree-Based Multiobjective Evolutionary Algorithm for Energy-Efficient Hybrid Flow-Shop Scheduling40
Elite Archive-Assisted Adaptive Memetic Algorithm for a Realistic Hybrid Differentiation Flowshop Scheduling Problem40
Evolutionary Multitasking for Costly Task Offloading in Mobile-Edge Computing Networks40
Learning to Preselection: A Filter-Based Performance Predictor for Multiobjective Feature Selection in Classification40
A Survey on Evolutionary Computation for Computer Vision and Image Analysis: Past, Present, and Future Trends39
Neural Architecture Search Based on a Multi-Objective Evolutionary Algorithm With Probability Stack39
Thank You for Your Authorship38
Table of Contents38
IEEE Transactions on Evolutionary Computation Information for Authors38
Learning to Approximate: Auto Direction Vector Set Generation for Hypervolume Contribution Approximation38
Neural Architecture Search with Progressive Evaluation and Subpopulation Preservation38
A Quantum Evolutionary Learning Tracker for Video37
Run Time Analysis for Random Local Search on Generalized Majority Functions37
Targeted Pareto Optimization for Subset Selection With Monotone Objective Function and Cardinality Constraint37
Enhancing Diversity by Local Subset Selection in Evolutionary Multiobjective Optimization37
Cross-Task Collaborative Optimization Based on Knowledge Transfer for Soft Robot Design37
Counterintuitive Experimental Results in Evolutionary Large-Scale Multiobjective Optimization36
A Divergence-Based Condition to Ensure Quantile Improvement in Black-Box Global Optimization36
Machine Learning-Assisted Multiobjective Evolutionary Algorithm for Routing and Packing36
Identifying Pareto Fronts Reliably Using a Multistage Reference-Vector-Based Framework36
Surrogate-Assisted Environmental Selection for Fast Hypervolume-Based Many-Objective Optimization35
A Multimodal Ant Colony Optimization Framework for Multi-Solution Traveling Salesman Problem34
IEEE Transactions on Evolutionary Computation Publication Information34
Runtime Analysis of the Compact Genetic Algorithm on the LeadingOnes Benchmark33
Active Learning in Genetic Programming: Guiding Efficient Data Collection for Symbolic Regression33
A Multifidelity Approach for Bilevel Optimization With Limited Computing Budget33
Can Evolutionary Clustering Have Theoretical Guarantees?33
Neural Architecture Search for Text Classification With Limited Computing Resources Using Efficient Cartesian Genetic Programming33
Automated Metaheuristic Algorithm Design With Autoregressive Learning32
From Direct to Directional Variable Dependencies—Nonsymmetrical Dependencies Discovery in Real-World and Theoretical Problems32
Leader Prediction for Multiobjective Particle Swarm Optimization32
Enhancing Fitness Evaluation in Genetic Algorithm-Based Architecture Search for AI-Aided Financial Regulation32
Domain Generalization-Based Dynamic Multiobjective Optimization: A Case Study on Disassembly Line Balancing32
Correlation-Guided Updating Strategy for Feature Selection in Classification With Surrogate-Assisted Particle Swarm Optimization31
Balancing Objective Optimization and Constraint Satisfaction in Expensive Constrained Evolutionary Multiobjective Optimization31
A Voting-Mechanism-Based Ensemble Framework for Constraint Handling Techniques31
Together, we are advancing technology30
TechRxiv: Share Your Preprint Research with the World!30
IEEE Transactions on Evolutionary Computation Information for Authors30
Balancing Different Optimization Difficulty Between Objectives in Multiobjective Feature Selection30
IEEE Transactions on Evolutionary Computation Publication Information30
A Fitness Spatially Informed Evolutionary Algorithm for Deceptive Multi-Modal Multi-Objective Optimization29
Collaborative Evolutionary Multitasking Multiobjective Adversarial Attacks in Hyperspectral Image Classification29
A Multitask Bee Colony Band Selection Algorithm With Variable-Size Clustering for Hyperspectral Images28
Dynamic Cascaded Flow-Shop Scheduling Using an Evolutionary Greedy Algorithm28
Table of Contents28
A Data-Driven Evolutionary Transfer Optimization for Expensive Problems in Dynamic Environments28
Evolutionary Reinforcement Learning With Late-Start Evolution and Clustering Archive28
An Efficient Data-Driven Framework for Detecting Infeasible Solutions in Multiobjective Evolutionary Bilevel Optimization28
A Generative Adversarial Network Based Prediction Strategy for Evolutionary Dynamic Multiobjective Optimization28
Genetic Programming Hyper Heuristic With Elitist Mutation for Integrated Order Batching and Picker Routing Problem28
A Joint-Encoding Evolutionary Algorithm for Multimodal Multiobjective Feature Selection in Classification27
Dual-Tree Genetic Programming for Few-Shot Image Classification27
Posterior Decision Making Based on Decomposition-Driven Knee Point Identification27
A Universal Framework for Automatically Generating Single-and Multi-Objective Evolutionary Algorithms27
A Multiform Evolutionary Search Paradigm for Bilevel Multiobjective Optimization27
Multitask Shape Optimization Using a 3-D Point Cloud Autoencoder as Unified Representation27
Genetic Programming With Flexible Region Detection for Fine-Grained Image Classification27
Analyzing Dominance Move (MIP-DoM) Indicator for Multiobjective and Many-Objective Optimization26
Evolutionary Multiobjective Clustering Over Multiple Conflicting Data Views26
Feature Extraction for Recommendation of Constrained Multiobjective Evolutionary Algorithms26
An Iterated Greedy Algorithm With Reinforcement Learning for Distributed Hybrid Flowshop Problems With Job Merging26
Differential Evolution With Domain Transform26
Genetic Programming for Image Classification: A New Program Representation With Flexible Feature Reuse26
Protein Structure Prediction Using a New Optimization-Based Evolutionary and Explainable Artificial Intelligence Approach25
A Multistage Algorithm for Solving Multiobjective Optimization Problems With Multiconstraints25
Evolutionary Knowledge Transfer via Graph Learning for Many-Task Heterogeneous Routing Problems25
Exact and Deep Q-Network Assisted Swarm Intelligence Methods for Scheduling Multiobjective Heterogeneous Unmanned Surface Vehicles25
A Mahalanobis Distance-Based Approach for Dynamic Multiobjective Optimization With Stochastic Changes25
Dealing With Structure Constraints in Evolutionary Pareto Set Learning24
ConCS: A Continual Classifier System for Continual Learning of Multiple Boolean Problems24
IEEE Transactions on Evolutionary Computation Publication Information24
IEEE Transactions on Evolutionary Computation Information for Authors24
Solution Transfer in Evolutionary Optimization: An Empirical Study on Sequential Transfer24
IEEE Computational Intelligence Society Information24
A Feedback Learning-Based Memetic Algorithm for Energy-Aware Distributed Flexible Job-Shop Scheduling With Transportation Constraints24
Knowledge Transfer Genetic Programming With Auxiliary Population for Solving Uncertain Capacitated Arc Routing Problem24
Light-EvoOPT: A Lightweight Evolutionary Optimization Framework for Ultra-Large-Scale Mixed Integer Linear Programs24
IEEE Computational Intelligence Society Information24
A Knee-Guided Evolutionary Algorithm for Multi-Objective Air Traffic Flow Management23
A Two-stage Cooperative Discrete Differential Evolution With Q-Learning for Multi-Objective Energy-Efficient Distributed Blocking Flow-Shop Scheduling23
Benchmarking Derivative-Free Global Optimization Algorithms Under Limited Dimensions and Large Evaluation Budgets23
Tailoring Evolutionary Algorithms to Solve the Multiobjective Location-Routing Problem for Biomass Waste Collection23
ACO-GA-Based Optimization to Enhance Global Path Planning for Autonomous Navigation in Grid Environments22
Region Purity-Based Local Feature Selection: A Multiobjective Perspective22
A Two-Individual Evolutionary Algorithm for Cumulative Capacitated Vehicle Routing With Single and Multiple Depots22
A Scalable Many-Objective Pathfinding Benchmark Suite22
Correlation-Based Dynamic Allocation Scheme of Fitness Evaluations for Constrained Evolutionary Optimization22
Expensive Multiobjective Optimization by Relation Learning and Prediction22
Table of Contents22
Optimizing Dynamic Flexible Job Shop Scheduling Using an Evolutionary Multitask Optimization Framework and Genetic Programming21
(θl,θu)-Parametric Multi-Task Optimization: Joint Search in Solution and Infinite Task Spaces21
Leader-Follower Disagreement Minimization in Social Networks21
Few for Many: Towards Efficient and Flexible Many-Objective Optimization21
Table of Contents21
A Framework Based on Historical Evolution Learning for Dynamic Multiobjective Optimization21
IEEE Transactions on Evolutionary Computation Information for Authors21
Co-Evolutionary Dual-Tree Genetic Programming for Fine-Grained Flower Image Classification21
Nearest-Better Network for Visualizing and Analyzing Combinatorial Optimization Problems: A Potential Unified Tool21
Computationally Expensive High-Dimensional Multiobjective Optimization via Surrogate-Assisted Reformulation and Decomposition21
Incremental Recursive Ranking Grouping for Large-Scale Global Optimization21
Evolutionary Direction Learning With Multivariate Gaussian Probabilistic Model for Multiobjective Optimization21
Accelerating Bilevel Optimization with Hierarchical Many-threaded Parallel Differential Evolution21
An Enhanced Competitive Swarm Optimizer With Strongly Convex Sparse Operator for Large-Scale Multiobjective Optimization20
Standardization and Data Augmentation in Genetic Programming20
Large-Scale Multimodal Multiobjective Optimization Based on Multiview Diversity Enhancement Mechanism20
Quantum Acceleration of Black-Box Pseudo-Boolean Optimization Algorithms20
A Streaming Feature Selection Method Based on Dynamic Feature Clustering and Particle Swarm Optimization20
Fast Greedy Subset Selection From Large Candidate Solution Sets in Evolutionary Multiobjective Optimization20
A Semantic-Based Hoist Mutation Operator for Evolutionary Feature Construction in Regression20
Effects of Archive Size on Computation Time and Solution Quality for Multiobjective Optimization20
Offline Data-Driven Optimization at Scale: A Cooperative Coevolutionary Approach20
The Physical Cell Identity Assignment Problem: A Practical Optimization Approach20
Riesz s-Energy as a Diversity Indicator in Evolutionary Multiobjective Optimization20
Benchmarking Optimization Algorithms for Auto-Tuning GPU Kernels20
A Crowding Distance That Provably Solves the Difficulties of the NSGA-II in Many-Objective Optimization19
Bilevel Optimization via Collaborations Among Lower-Level Optimization Tasks19
Fuzzy Logic-Based Multifactorial Optimization for Evolutionary Multitasking19
Dynamic In Vivo Computation for Learning-Based Nanobiosensing in Time-Varying Biological Landscapes19
A Tractive Population-Assisted Dual-Population and Two-Phase Evolutionary Algorithm for Constrained Multiobjective Optimization19
Multispace Dimensionality Reduction Based on Extreme Learning Machine-Assisted Autoencoder for High-Dimensional Expensive Optimization18
Evolutionary Bilevel Optimization via Multiobjective Transformation-Based Lower-Level Search18
Exploring the Performance-Reproducibility Trade-off in Quality-Diversity18
A Large-scale Expensive Optimization Algorithm with a Multi-view Synthetic Sampling18
Discovering Infinite Recursive Conjectures Through Genetic Programming18
Determining Metaheuristic Similarity Using Behavioral Analysis18
IEEE Transactions on Evolutionary Computation Publication Information18
Nanorobots-Assisted In Vivo Computational Methodology for Tumor Lesion Exploitation and Lesion Boundary Exploration18
Evaluation of Frameworks That Combine Evolution and Learning to Design Robots in Complex Morphological Spaces18
Table of Contents18
Privacy-Enhanced Multitasking Particle Swarm Optimization Based on Homomorphic Encryption18
An Evolution Strategy With Adaptive Fitness Sharing for Multimodal Multiobjective Optimization18
Efficient Evolution of Variable Ordering for Binary Decision Diagram Optimization18
On the Evolutionary Synthesis of Fault-Resilient Digital Circuits18
Speeding-Up Evolutionary Algorithms to Solve Black-Box Optimization Problems17
A Survey on Evolutionary Computation for Identifying Biomarkers of Complex Disease17
Dynamic Transfer Reference Point-Oriented MOEA/D Involving Local Objective-Space Knowledge17
Niching Genetic Programming to Learn Actions for Deep Reinforcement Learning in Dynamic Flexible Scheduling17
Optimization of an Implicit Acquisition Function for Federated Bayesian Many-Task Optimization17
Using an Estimation of Distribution Algorithm to Achieve Multitasking Semantic Web Service Composition17
Fractional Order Differential Evolution17
Evolutionary Large-Scale Multiobjective Optimization: Benchmarks and Algorithms17
Solving the Single-Row Facility Layout Problem by K-Medoids Memetic Permutation Group17
Reduced-Space Multistream Classification Based on Multiobjective Evolutionary Optimization17
A Surrogate-Assisted Differential Evolution With Knowledge Transfer for Expensive Incremental Optimization Problems17
Collaborative Ontology Matching With Dual Population Genetic Programming and Active Meta-Learning16
Gradient-Guided Local Search for Large-Scale Hypervolume Subset Selection16
IEEE Computational Intelligence Society Information16
Global and Local Search Experience-Based Evolutionary Sequential Transfer Optimization16
Community Opinion Maximization in Social Networks16
TechRxiv: Share Your Preprint Research with the World!16
A Comparison of Large Language Models and Genetic Programming for Program Synthesis16
History-Guided Hill Exploration for Evolutionary Computation16
An Evolutionary Forest for Regression16
0.22215986251831