IEEE Transactions on Evolutionary Computation

Papers
(The TQCC of IEEE Transactions on Evolutionary Computation is 21. 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 2022-08-01 to 2026-08-01.)
ArticleCitations
Table of Contents378
IEEE Transactions on Evolutionary Computation Publication Information225
Space Net Optimization for Single Objective Bound Constrained Problems190
Dual Relational Surrogate-Assisted Evolution for Expensive Constrained Multiobjective Optimization182
Surrogate-Assisted Efficient Grouping Evolutionary Search for Expensive Large-Scale Multi-Objective Optimization177
Multiagent Swarm Optimization With Adaptive Internal and External Learning for Complex Consensus-Based Distributed Optimization177
ENERGIZE: A Neuroevolution Framework for Energy-Efficient Machine Learning159
A Modular Framework with an Adaptive Momentum-based Evolutionary Strategy for Physics-Informed Neural Networks148
Dynamic Multiobjective Optimisation Based on Vector Autoregressive Evolution147
Dynamic Multi-objective Operation Optimization for Multi-condition Blast Furnace Ironmaking Process with Changing Decision Variables140
MORA-LLM: Enhancing Multiobjective Optimization Recommendation Algorithm by Integrating Large Language Models139
EDA++: Estimation of Distribution Algorithms With Feasibility Conserving Mechanisms for Constrained Continuous Optimization138
Data-Driven Evolutionary Computation Under Continuously Streaming Environments: A Drift-Aware Approach134
LLM-Enhanced Accumulated Learning Prediction for Evolutionary Dynamic Multiobjective Optimization133
Approximation Guarantees for the Nondominated Sorting Genetic Algorithm II (NSGA-II)132
BIAS: A Toolbox for Benchmarking Structural Bias in the Continuous Domain130
SDNAS: Neural Architecture Search for Self-Supervised Single-Image Denoising Using Genetic Algorithm with Modular Encoding128
Evolutionary Search for Complete Neural Network Architectures With Partial Weight Sharing128
Revisiting Implicit and Explicit Averaging for Noisy Optimization125
Brain-Inspired Multiscale Evolutionary Neural Architecture Search for Deep Spiking Neural Networks122
Quality Indicators for Preference-Based Evolutionary Multiobjective Optimization Using a Reference Point: A Review and Analysis116
A Review on Evolutionary Multitask Optimization: Trends and Challenges110
Bayesian Performance Analysis for Algorithm Ranking Comparison110
Survey on Genetic Programming and Machine Learning Techniques for Heuristic Design in Job Shop Scheduling106
Knowledge Transfer With Mixture Model in Dynamic Multiobjective Optimization106
Evolutionary Constrained Multiobjective Optimization: Scalable High-Dimensional Constraint Benchmarks and Algorithm105
Difficulties of the NSGA-II With the Many-Objective LeadingOnes Problem104
Genetic Programming for Dynamic Flexible Job Shop Scheduling: Evolution With Single Individuals and Ensembles102
A Deep Reinforcement Learning-Assisted Multimodal Multiobjective Bilevel Optimization Method for Multirobot Task Allocation102
A Surrogate-Assisted Evolutionary Feature Selection Algorithm With Parallel Random Grouping for High-Dimensional Classification102
A Bi-Objective Evolutionary Algorithm for Multimodal Multiobjective Optimization99
Adversarial AutoEncoder-Based Large-Scale Dynamic Multiobjective Evolutionary Algorithm96
A Correlation-Guided Layered Prediction Approach for Evolutionary Dynamic Multiobjective Optimization96
Table of Contents95
Table of Contents95
IEEE Transactions on Evolutionary Computation Information for Authors94
Frequency-domain Assisted Multitask Differential Evolution Algorithm for Operational Optimization of Coal Mine Integrated Energy Systems90
Unsupervised Band Selection for Hyperspectral Image Classification: Particle Swarm Optimization via Cross-Domain Knowledge Transfer89
Unleashing the Potential of Differential Evolution through Individual-Level Strategy Diversity89
Enhancing 3-D Land Seismic Data Using Nonlinear Beamforming Based on the Efficiency-Improved Genetic Algorithm88
Multitree Genetic Programming with Behavioral Semantics for Large-Scale Dynamic Air Traffic Flow Management87
Online Meteorological Forecasting Model Using Multi-feature Information Gain PSO and Evolving Fuzzy Systems84
A Unified Innovized Progress Operator for Performance Enhancement in Evolutionary Multi- and Many-Objective Optimization84
A Large-Scale Multiobjective Evolutionary Quantile Estimation Model for Wind Power Probabilistic Forecasting84
Enhancing Dynamic Constrained Multiobjective Optimization With Multicenters-Based Prediction84
A Subspace Sparsity-Driven Knowledge Transfer Strategy for Dynamic Constrained Multiobjective Optimization79
Multi-Expert Genetic Programming based Ensemble for Long-Tailed Image Classification78
POGP: Probabilistic Genetic Programming With Knowledge Learning for Few-Shot Image Classification78
Fitness Landscape Optimization Makes Stochastic Symbolic Search by Genetic Programming Easier77
Efficient Greedy Decremental Hypervolume Subset Selection Using Space Partition Tree77
Frequency Fitness Assignment: Optimization Without Bias for Good Solutions Can Be Efficient76
MedNAS: Multiscale Training-Free Neural Architecture Search for Medical Image Analysis75
Binary-to-Decimal Encoding-Based Performance Predictor for Evolutionary Graph Fusion Architecture Search and Applications to Medical Data74
Decomposition-Based Multiobjective Optimization Algorithms With Adaptively Adjusting Weight Vectors and Neighborhoods73
Multimodal Multiobjective Neural Architecture Search for Lightweight and Failure-Resilient Time Series Forecasting72
A Distributed Model Predictive Control-Based Method for Multidifferent-Target Search in Unknown Environments72
Many-to-Few Decomposition: Linking R2-Based and Decomposition-Based Multiobjective Efficient Global Optimization Algorithms72
Controlling Functional Complexity for Overfitting Reduction and Improved Interpretability in GP71
Data-Driven Dynamic Multiobjective Optimization With Response to Stochastic Changes for Municipal Solid Waste Incineration Process67
Language Model Evolutionary Algorithms for Recommender Systems: Benchmarks and Algorithm Comparisons66
A Variable Granularity Search-Based Multiobjective Feature Selection Algorithm for High-Dimensional Data Classification65
Plotting Impossible? Surveying Visualization Methods for Continuous Multi-Objective Benchmark Problems64
Multitree Genetic Programming for Learning Color and Multiscale Features in Image Classification64
Superpixel Segmentation-Based Evolutionary Multitasking Algorithm for Feature Selection of Hyperspectral Images62
IEEE Transactions on Evolutionary Computation Publication Information62
IEEE Transactions on Evolutionary Computation Publication Information61
Balancing Effectiveness and Structural Complexities in Scheduling Heuristics via Multi/Many-objective Multiform Genetic Programming61
Epistatic gene interactions in the evolution of robots60
Evo-TFS: Evolutionary Time-Frequency Domain-Based Synthetic Minority Oversampling Approach to Imbalanced Time Series Classification60
DG-SMOTE: A Distance-Angle-Based Genetic Synthetic Minority Over-Sampling Technique for Unbalanced Data Learning59
Fourier Transform-based instance decomposition for k -adic Assignment Problems59
Objective Space-Based Population Generation to Accelerate Evolutionary Algorithms for Large-Scale Many-Objective Optimization58
EGANS: Evolutionary Generative Adversarial Network Search for Zero-Shot Learning57
Learning-Based Temporal Sequence of Constrained Handling Selection for Constrained Multi-Objective Evolutionary Optimization56
Surrogate-Assisted Evolutionary Algorithm for Expensive Optimization with Equality and Inequality Constraints56
A Size-Imbalanced Dual Population with Complementary Search for Sparse Large-Scale Multi-Modal Multi-Objective Optimization56
A Global and Local Surrogate-Assisted Genetic Programming Approach to Image Classification55
Historical Information-Assisted Dynamic Response Integration and Adaptive Niche Methods for Dynamic Multimodal Optimization55
Evolutionary Computation for the Design and Enrichment of General-Purpose Artificial Intelligence Systems: Survey and Prospects55
Spatial-Temporal Knowledge Transfer for Dynamic Constrained Multiobjective Optimization55
A Knowledge Guided Transfer Strategy for Evolutionary Dynamic Multiobjective Optimization54
IEEE Transactions on Evolutionary Computation Publication Information53
An Efficient Adaptive Differential Grouping Algorithm for Large-Scale Black-Box Optimization53
IEEE Transactions on Evolutionary Computation Information for Auhtors52
IEEE Computational Intelligence Society Information51
IEEE Transactions on Evolutionary Computation Information for Authors50
Learning to Preselection: A Filter-Based Performance Predictor for Multiobjective Feature Selection in Classification49
Benchmarking Feature-Based Algorithm Selection Systems for Black-Box Numerical Optimization49
Visualizing Population Dynamics to Examine Algorithm Performance49
A Distributed Surrogate-Assisted Evolutionary Algorithm for Heterogeneously Expensive Constrained Optimization49
Nonzero Degree-Based Multiobjective Cooperative Coevolutionary for Block Sparse Recovery48
EvoSpeak: Large Language Models for Interpretable Genetic Programming-Evolved Heuristics48
Optimal Transport-Based Distributional Pairing in Transfer Multiobjective Optimization47
An Evolutionary Algorithm Based on CMSA for Rooted Max Tree Coverage47
A Surrogate-Assisted Constrained Optimization Evolutionary Algorithm by Searching Multiple Kinds of Global and Local Regions47
Objective-Constraint Mutual-Guided Surrogate-Based Particle Swarm Optimization for Expensive Constrained Multimodal Problems47
Enabling Population-Level Parallelism in Tree-Based Genetic Programming for GPU Acceleration46
Distributed Co-Evolutionary Memetic Algorithm for Distributed Hybrid Differentiation Flowshop Scheduling Problem46
An Interval Multiobjective Evolutionary Generation Algorithm for Product Design Change Plans in Uncertain Environments44
A Multiobjective Multitask Optimization Algorithm Using Transfer Rank44
Evolutionary Multitasking for Costly Task Offloading in Mobile-Edge Computing Networks44
A Novel Dual-Stage Dual-Population Evolutionary Algorithm for Constrained Multiobjective Optimization43
Gradual Innovative Transitional Solutions Improving Current to a Desired Target: Innovation Path43
A Decomposition-Based Evolutionary Algorithm With Clustering and Hierarchical Estimation for Multiobjective Fuzzy Flexible Jobshop Scheduling43
A Tree-Based Multiobjective Evolutionary Algorithm for Energy-Efficient Hybrid Flow-Shop Scheduling42
Neural Architecture Search with Progressive Evaluation and Subpopulation Preservation42
Semiparametric Estimation of Distribution Algorithms for Continuous Optimization41
Evolving Similarity Functions for Graph-based Semi-Supervised Learning41
IEEE Transactions on Evolutionary Computation Information for Authors40
Multiobjective-Based Constraint-Handling Technique for Evolutionary Constrained Multiobjective Optimization: A New Perspective40
Solving Multiobjective Feature Selection Problems in Classification via Problem Reformulation and Duplication Handling40
Neural Architecture Search Based on a Multi-Objective Evolutionary Algorithm With Probability Stack40
Conditional-Surrogate-Assisted Particle Swarm Optimization for Large-Scale Robust Optimization Over Time40
Thank You for Your Authorship40
A Survey on Evolutionary Computation for Computer Vision and Image Analysis: Past, Present, and Future Trends40
Multi-Task Surrogate-Assisted Search With Bayesian Competitive Knowledge Transfer for Expensive Optimization40
Table of Contents39
Surrogate-Assisted Environmental Selection for Fast Hypervolume-Based Many-Objective Optimization39
A Divergence-Based Condition to Ensure Quantile Improvement in Black-Box Global Optimization39
Run Time Analysis for Random Local Search on Generalized Majority Functions39
Domain Generalization-Based Dynamic Multiobjective Optimization: A Case Study on Disassembly Line Balancing38
Table of Contents38
IEEE Transactions on Evolutionary Computation Publication Information38
Targeted Pareto Optimization for Subset Selection With Monotone Objective Function and Cardinality Constraint38
Enhancing Fitness Evaluation in Genetic Algorithm-Based Architecture Search for AI-Aided Financial Regulation37
A Multimodal Ant Colony Optimization Framework for Multi-Solution Traveling Salesman Problem37
A Voting-Mechanism-Based Ensemble Framework for Constraint Handling Techniques36
Neural Architecture Search for Text Classification With Limited Computing Resources Using Efficient Cartesian Genetic Programming35
Cross-Task Collaborative Optimization Based on Knowledge Transfer for Soft Robot Design35
Counterintuitive Experimental Results in Evolutionary Large-Scale Multiobjective Optimization35
Active Learning in Genetic Programming: Guiding Efficient Data Collection for Symbolic Regression35
A Quantum Evolutionary Learning Tracker for Video35
From Direct to Directional Variable Dependencies—Nonsymmetrical Dependencies Discovery in Real-World and Theoretical Problems34
Identifying Pareto Fronts Reliably Using a Multistage Reference-Vector-Based Framework34
Machine Learning-Assisted Multiobjective Evolutionary Algorithm for Routing and Packing34
Leader Prediction for Multiobjective Particle Swarm Optimization34
Runtime Analysis of the Compact Genetic Algorithm on the LeadingOnes Benchmark34
Can Evolutionary Clustering Have Theoretical Guarantees?34
Learning to Approximate: Auto Direction Vector Set Generation for Hypervolume Contribution Approximation34
Balancing Objective Optimization and Constraint Satisfaction in Expensive Constrained Evolutionary Multiobjective Optimization34
IEEE Transactions on Evolutionary Computation Publication Information33
Table of Contents33
IEEE Transactions on Evolutionary Computation Information for Authors33
Automated Metaheuristic Algorithm Design With Autoregressive Learning33
Correlation-Guided Updating Strategy for Feature Selection in Classification With Surrogate-Assisted Particle Swarm Optimization33
Together, we are advancing technology33
Evolutionary Knowledge Transfer via Graph Learning for Many-Task Heterogeneous Routing Problems33
Balancing Different Optimization Difficulty Between Objectives in Multiobjective Feature Selection33
TechRxiv: Share Your Preprint Research with the World!33
A Fitness Spatially Informed Evolutionary Algorithm for Deceptive Multi-Modal Multi-Objective Optimization33
An Efficient Data-Driven Framework for Detecting Infeasible Solutions in Multiobjective Evolutionary Bilevel Optimization33
Enhancing Diversity by Local Subset Selection in Evolutionary Multiobjective Optimization33
Protein Structure Prediction Using a New Optimization-Based Evolutionary and Explainable Artificial Intelligence Approach32
A Multiform Evolutionary Search Paradigm for Bilevel Multiobjective Optimization32
Collaborative Evolutionary Multitasking Multiobjective Adversarial Attacks in Hyperspectral Image Classification32
A Multitask Bee Colony Band Selection Algorithm With Variable-Size Clustering for Hyperspectral Images32
Dynamic Cascaded Flow-Shop Scheduling Using an Evolutionary Greedy Algorithm32
A Generative Adversarial Network Based Prediction Strategy for Evolutionary Dynamic Multiobjective Optimization32
CoDE-GAN: Consistency Diffusion Evolutionary Algorithm Based Neural Architecture Search for Generative Adversarial Networks32
Evolutionary Multiobjective Clustering Over Multiple Conflicting Data Views32
Exact and Deep Q-Network Assisted Swarm Intelligence Methods for Scheduling Multiobjective Heterogeneous Unmanned Surface Vehicles31
A Multistage Algorithm for Solving Multiobjective Optimization Problems With Multiconstraints31
A Feedback Learning-Based Memetic Algorithm for Energy-Aware Distributed Flexible Job-Shop Scheduling With Transportation Constraints31
Feature Extraction for Recommendation of Constrained Multiobjective Evolutionary Algorithms31
A Data-Driven Evolutionary Transfer Optimization for Expensive Problems in Dynamic Environments31
Posterior Decision Making Based on Decomposition-Driven Knee Point Identification31
Genetic Programming Hyper Heuristic With Elitist Mutation for Integrated Order Batching and Picker Routing Problem31
Differential Evolution With Domain Transform31
A Mahalanobis Distance-Based Approach for Dynamic Multiobjective Optimization With Stochastic Changes30
A Universal Framework for Automatically Generating Single-and Multi-Objective Evolutionary Algorithms30
Genetic Programming With Flexible Region Detection for Fine-Grained Image Classification30
A Joint-Encoding Evolutionary Algorithm for Multimodal Multiobjective Feature Selection in Classification30
An Iterated Greedy Algorithm With Reinforcement Learning for Distributed Hybrid Flowshop Problems With Job Merging30
Genetic Programming for Image Classification: A New Program Representation With Flexible Feature Reuse30
Evolutionary Reinforcement Learning With Late-Start Evolution and Clustering Archive30
IEEE Transactions on Evolutionary Computation Publication Information29
IEEE Transactions on Evolutionary Computation Information for Authors29
IEEE Computational Intelligence Society Information29
IEEE Computational Intelligence Society Information29
ConCS: A Continual Classifier System for Continual Learning of Multiple Boolean Problems29
Table of Contents28
A Two-Stage Cooperative Discrete Differential Evolution With Q-Learning for Multiobjective Energy-Efficient Distributed Blocking Flow-Shop Scheduling28
Tailoring Evolutionary Algorithms to Solve the Multiobjective Location-Routing Problem for Biomass Waste Collection28
OPT-VAE: A Variational Autoencoder-based Estimation of Distribution Algorithm for Continuous Optimization28
Benchmarking Derivative-Free Global Optimization Algorithms Under Limited Dimensions and Large Evaluation Budgets28
Light-EvoOPT: A Lightweight Evolutionary Optimization Framework for Ultralarge-Scale Mixed Integer Linear Programs28
A Dual-Stage Surrogate-Assisted Differential Evolution for Expensive Multimodal Optimization27
Beyond Distribution Shift: Investigating Generalisation in Automated Algorithm Selection for Single-Objective Black-Box Optimisation27
Region Purity-Based Local Feature Selection: A Multiobjective Perspective27
Dynamic Escaping Population Driven Evolutionary Algorithm for Multi-objective Optimization Problems with Deceptive Constraints27
A Knee-Guided Evolutionary Algorithm for Multi-Objective Air Traffic Flow Management27
Table of Contents27
Dealing With Structure Constraints in Evolutionary Pareto Set Learning27
Expensive Multiobjective Optimization by Relation Learning and Prediction26
A Two-Individual Evolutionary Algorithm for Cumulative Capacitated Vehicle Routing With Single and Multiple Depots26
ACO-GA-Based Optimization to Enhance Global Path Planning for Autonomous Navigation in Grid Environments26
Optimizing Dynamic Flexible Job Shop Scheduling Using an Evolutionary Multitask Optimization Framework and Genetic Programming26
Neural Network-Assisted Multitask Learning for Multiobjective Optimization Problems With Heterogeneous Expensive Constraints26
Evolutionary Generative Optimization: Towards Fully Data-Driven Evolutionary Optimization via Generative Learning26
Knowledge Transfer Genetic Programming With Auxiliary Population for Solving Uncertain Capacitated Arc Routing Problem26
Correlation-Based Dynamic Allocation Scheme of Fitness Evaluations for Constrained Evolutionary Optimization26
Incremental Recursive Ranking Grouping for Large-Scale Global Optimization25
A Framework Based on Historical Evolution Learning for Dynamic Multiobjective Optimization25
Solution Transfer in Evolutionary Optimization: An Empirical Study on Sequential Transfer25
Table of Contents25
A Physics-informed Memetic Framework for Multi-objective Satellite Range Scheduling25
Computationally Expensive High-Dimensional Multiobjective Optimization via Surrogate-Assisted Reformulation and Decomposition25
Multispace Dimensionality Reduction Based on Extreme Learning Machine-Assisted Autoencoder for High-Dimensional Expensive Optimization24
IEEE Transactions on Evolutionary Computation Information for Authors24
Co-Evolutionary Dual-Tree Genetic Programming for Fine-Grained Flower Image Classification24
Fuzzy Logic-Based Multifactorial Optimization for Evolutionary Multitasking24
θ l θ u -Parametric Multitask Optimization: Joint Search in Solution and Infinite Task Spaces24
Quantum Acceleration of Black-Box Pseudo-Boolean Optimization Algorithms24
Few for Many: Towards Efficient and Flexible Many-Objective Optimization24
IEEE Transactions on Evolutionary Computation Information for Authors24
Nearest-Better Network for Visualizing and Analyzing Combinatorial Optimization Problems: A Potential Unified Tool23
Benchmarking Optimization Algorithms for Auto-Tuning GPU Kernels23
Accelerating Bilevel Optimization With Hierarchical Many-Threaded Parallel Differential Evolution23
Q-Learning-Based Improved Discrete PSO for Multi-Objective Flexible Job-Shop Scheduling with Worker Fatigue and Dual Resources23
Dynamic In Vivo Computation for Learning-Based Nanobiosensing in Time-Varying Biological Landscapes23
Evolutionary Direction Learning With Multivariate Gaussian Probabilistic Model for Multiobjective Optimization23
The Physical Cell Identity Assignment Problem: A Practical Optimization Approach23
Privacy-Enhanced Multitasking Particle Swarm Optimization Based on Homomorphic Encryption22
Exploring the Performance-Reproducibility Trade-Off in Quality-Diversity22
Standardization and Data Augmentation in Genetic Programming22
Leader–Follower Disagreement Minimization in Social Networks22
Determining Metaheuristic Similarity Using Behavioral Analysis22
A Semantic-Based Hoist Mutation Operator for Evolutionary Feature Construction in Regression22
Automatic Adaptation of Mutation Rates for Move Acceptance Hyper-Heuristics Using Hypermutations22
Evolutionary Bilevel Optimization via Multiobjective Transformation-Based Lower-Level Search22
Offline Data-Driven Optimization at Scale: A Cooperative Coevolutionary Approach21
Bilevel Optimization via Collaborations Among Lower-Level Optimization Tasks21
IEEE Transactions on Evolutionary Computation Publication Information21
A Streaming Feature Selection Method Based on Dynamic Feature Clustering and Particle Swarm Optimization21
Large-Scale Multimodal Multiobjective Optimization Based on Multiview Diversity Enhancement Mechanism21
A Crowding Distance That Provably Solves the Difficulties of the NSGA-II in Many-Objective Optimization21
A Tractive Population-Assisted Dual-Population and Two-Phase Evolutionary Algorithm for Constrained Multiobjective Optimization21
Fast Greedy Subset Selection From Large Candidate Solution Sets in Evolutionary Multiobjective Optimization21
Effects of Archive Size on Computation Time and Solution Quality for Multiobjective Optimization21
Evolutionary Algorithm-Based Ensemble of Aggregation Strategies in Federated Learning21
Riesz s-Energy as a Diversity Indicator in Evolutionary Multiobjective Optimization21
An Enhanced Competitive Swarm Optimizer With Strongly Convex Sparse Operator for Large-Scale Multiobjective Optimization21
IEEE Transactions on Evolutionary Computation Publication Information21
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