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
Evolutionary Constrained Multiobjective Optimization: Scalable High-Dimensional Constraint Benchmarks and Algorithm83
Survey on Genetic Programming and Machine Learning Techniques for Heuristic Design in Job Shop Scheduling83
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
A Variable Granularity Search-Based Multiobjective Feature Selection Algorithm for High-Dimensional Data Classification70
Table of Contents70
Plotting Impossible? Surveying Visualization Methods for Continuous Multi-Objective Benchmark Problems70
IEEE Transactions on Evolutionary Computation Information for Authors68
Enhancing 3-D Land Seismic Data Using Nonlinear Beamforming Based on the Efficiency-Improved Genetic Algorithm68
Fitness Landscape Optimization Makes Stochastic Symbolic Search By Genetic Programming Easier67
A Subspace Sparsity Driven Knowledge Transfer Strategy for Dynamic Constrained Multiobjective Optimization67
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
MedNAS: Multiscale Training-Free Neural Architecture Search for Medical Image Analysis65
Multitree Genetic Programming for Learning Color and Multiscale Features in Image Classification65
Data-Driven Dynamic Multiobjective Optimization With Response to Stochastic Changes for Municipal Solid Waste Incineration Process64
Efficient Greedy Decremental Hypervolume Subset Selection Using Space Partition Tree64
Autoencoding With a Classifier System64
Enhancing Dynamic Constrained Multi-Objective Optimization With Multi-Centers Based Prediction62
Decomposition-Based Multiobjective Optimization Algorithms With Adaptively Adjusting Weight Vectors and Neighborhoods61
IEEE Transactions on Evolutionary Computation Publication Information61
Introducing IEEE Collabratec60
IEEE Transactions on Evolutionary Computation Publication Information59
Table of contents59
TechRxiv: Share Your Preprint Research with the World!59
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
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
Objective Space-Based Population Generation to Accelerate Evolutionary Algorithms for Large-Scale Many-Objective Optimization57
0.19524693489075