IEEE Transactions on Evolutionary Computation

Papers
(The H4-Index of IEEE Transactions on Evolutionary Computation is 57. 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 2021-09-01 to 2025-09-01.)
ArticleCitations
TechRxiv: Share Your Preprint Research with the World!241
Revisiting Implicit and Explicit Averaging for Noisy Optimization203
EDA++: Estimation of Distribution Algorithms With Feasibility Conserving Mechanisms for Constrained Continuous Optimization193
Genetic Programming for Dynamic Flexible Job Shop Scheduling: Evolution With Single Individuals and Ensembles160
Dynamic Multi-Objective Optimisation Based on Vector Autoregressive Evolution156
ENERGIZE: A Neuroevolution Framework for Energy-Efficient Machine Learning142
Difficulties of the NSGA-II With the Many-Objective LeadingOnes Problem136
Brain-Inspired Multi-Scale Evolutionary Neural Architecture Search for Deep Spiking Neural Networks134
Quality Indicators for Preference-Based Evolutionary Multiobjective Optimization Using a Reference Point: A Review and Analysis133
Multiagent Swarm Optimization With Adaptive Internal and External Learning for Complex Consensus-Based Distributed Optimization119
Adversarial AutoEncoder-Based Large-Scale Dynamic Multiobjective Evolutionary Algorithm115
Data-Driven Evolutionary Computation Under Continuously Streaming Environments: A Drift-Aware Approach114
A Bi-Objective Evolutionary Algorithm for Multimodal Multiobjective Optimization112
BIAS: A Toolbox for Benchmarking Structural Bias in the Continuous Domain107
Evolutionary Search for Complete Neural Network Architectures With Partial Weight Sharing104
Knowledge Transfer With Mixture Model in Dynamic Multi-Objective Optimization101
Space Net Optimization for Single Objective Bound Constrained Problems91
A Surrogate-Assisted Evolutionary Feature Selection Algorithm With Parallel Random Grouping for High-Dimensional Classification91
Multipopulation Ant Colony System With Knowledge-Based Local Searches for Multiobjective Supply Chain Configuration89
A Deep Reinforcement Learning-Assisted Multimodal Multiobjective Bilevel Optimization Method for Multirobot Task Allocation88
Bayesian Performance Analysis for Algorithm Ranking Comparison87
Approximation Guarantees for the Nondominated Sorting Genetic Algorithm II (NSGA-II)85
A Correlation-Guided Layered Prediction Approach for Evolutionary Dynamic Multiobjective Optimization84
A Review on Evolutionary Multitask Optimization: Trends and Challenges84
Survey on Genetic Programming and Machine Learning Techniques for Heuristic Design in Job Shop Scheduling83
Evolutionary Constrained Multiobjective Optimization: Scalable High-Dimensional Constraint Benchmarks and Algorithm83
Table of Contents81
Many-to-Few Decomposition: Linking R2-Based and Decomposition-Based Multiobjective Efficient Global Optimization Algorithms80
A Distributed Model Predictive Control-Based Method for Multidifferent-Target Search in Unknown Environments79
Adaptive Multifactorial Evolutionary Optimization for Multitask Reinforcement Learning78
Unsupervised Band Selection for Hyperspectral Images Classification: Particle Swarm Optimization via Cross-Domain Knowledge Transfer76
Frequency Fitness Assignment: Optimization Without Bias for Good Solutions Can Be Efficient72
Table of Contents70
Plotting Impossible? Surveying Visualization Methods for Continuous Multi-Objective Benchmark Problems70
A Variable Granularity Search-Based Multiobjective Feature Selection Algorithm for High-Dimensional Data Classification70
Enhancing 3-D Land Seismic Data Using Nonlinear Beamforming Based on the Efficiency-Improved Genetic Algorithm68
IEEE Transactions on Evolutionary Computation Information for Authors68
A Subspace Sparsity Driven Knowledge Transfer Strategy for Dynamic Constrained Multiobjective Optimization67
Fitness Landscape Optimization Makes Stochastic Symbolic Search By Genetic Programming Easier67
A Large-Scale Multi-Objective Evolutionary Quantile Estimation Model for Wind Power Probabilistic Forecasting66
A Unified Innovized Progress Operator for Performance Enhancement in Evolutionary Multi- and Many-Objective Optimization66
Multitree Genetic Programming for Learning Color and Multiscale Features in Image Classification65
MedNAS: Multiscale Training-Free Neural Architecture Search for Medical Image Analysis65
Efficient Greedy Decremental Hypervolume Subset Selection Using Space Partition Tree64
Autoencoding With a Classifier System64
Data-Driven Dynamic Multiobjective Optimization With Response to Stochastic Changes for Municipal Solid Waste Incineration Process64
Enhancing Dynamic Constrained Multi-Objective Optimization With Multi-Centers Based Prediction62
IEEE Transactions on Evolutionary Computation Publication Information61
Decomposition-Based Multiobjective Optimization Algorithms With Adaptively Adjusting Weight Vectors and Neighborhoods61
Introducing IEEE Collabratec60
Table of contents59
TechRxiv: Share Your Preprint Research with the World!59
IEEE Transactions on Evolutionary Computation Publication Information59
Evolutionary Computation for the Design and Enrichment of General-Purpose Artificial Intelligence Systems: Survey and Prospects58
Multitree Genetic Programming With New Operators for Transfer Learning in Symbolic Regression With Incomplete Data58
Learning-Based Temporal Sequence of Constrained Handling Selection for Constrained Multi-objective Evolutionary Optimization58
DG-SMOTE: A Distance-Angle-Based Genetic Synthetic Minority Over-Sampling Technique for Unbalanced Data Learning58
Objective Space-Based Population Generation to Accelerate Evolutionary Algorithms for Large-Scale Many-Objective Optimization57
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