IEEE Transactions on Evolutionary Computation

Papers
(The TQCC of IEEE Transactions on Evolutionary Computation is 17. 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 2021-12-01 to 2025-12-01.)
ArticleCitations
TechRxiv: Share Your Preprint Research with the World!281
Data-Driven Evolutionary Computation Under Continuously Streaming Environments: A Drift-Aware Approach223
Space Net Optimization for Single Objective Bound Constrained Problems217
Dual Relational Surrogate-Assisted Evolution for Expensive Constrained Multiobjective Optimization179
Surrogate-Assisted Efficient Grouping Evolutionary Search for Expensive Large-Scale Multi-Objective Optimization172
Dynamic Multi-Objective Optimisation Based on Vector Autoregressive Evolution162
Difficulties of the NSGA-II With the Many-Objective LeadingOnes Problem154
Quality Indicators for Preference-Based Evolutionary Multiobjective Optimization Using a Reference Point: A Review and Analysis144
Multiagent Swarm Optimization With Adaptive Internal and External Learning for Complex Consensus-Based Distributed Optimization142
ENERGIZE: A Neuroevolution Framework for Energy-Efficient Machine Learning137
MORA-LLM: Enhancing Multi-Objective Optimization Recommendation Algorithm by Integrating Large Language Models137
A Surrogate-Assisted Evolutionary Feature Selection Algorithm With Parallel Random Grouping for High-Dimensional Classification135
Genetic Programming for Dynamic Flexible Job Shop Scheduling: Evolution With Single Individuals and Ensembles119
Evolutionary Search for Complete Neural Network Architectures With Partial Weight Sharing118
BIAS: A Toolbox for Benchmarking Structural Bias in the Continuous Domain112
Knowledge Transfer With Mixture Model in Dynamic Multiobjective Optimization112
Approximation Guarantees for the Nondominated Sorting Genetic Algorithm II (NSGA-II)104
Revisiting Implicit and Explicit Averaging for Noisy Optimization102
Brain-Inspired Multiscale Evolutionary Neural Architecture Search for Deep Spiking Neural Networks100
A Bi-Objective Evolutionary Algorithm for Multimodal Multiobjective Optimization96
A Correlation-Guided Layered Prediction Approach for Evolutionary Dynamic Multiobjective Optimization95
A Deep Reinforcement Learning-Assisted Multimodal Multiobjective Bilevel Optimization Method for Multirobot Task Allocation95
EDA++: Estimation of Distribution Algorithms With Feasibility Conserving Mechanisms for Constrained Continuous Optimization93
Multipopulation Ant Colony System With Knowledge-Based Local Searches for Multiobjective Supply Chain Configuration90
Bayesian Performance Analysis for Algorithm Ranking Comparison89
Evolutionary Constrained Multiobjective Optimization: Scalable High-Dimensional Constraint Benchmarks and Algorithm88
Survey on Genetic Programming and Machine Learning Techniques for Heuristic Design in Job Shop Scheduling87
Adversarial AutoEncoder-Based Large-Scale Dynamic Multiobjective Evolutionary Algorithm87
A Review on Evolutionary Multitask Optimization: Trends and Challenges82
Table of Contents80
Language Model Evolutionary Algorithms for Recommender Systems: Benchmarks and Algorithm Comparisons79
Fitness Landscape Optimization Makes Stochastic Symbolic Search By Genetic Programming Easier79
Unsupervised Band Selection for Hyperspectral Images Classification: Particle Swarm Optimization via Cross-Domain Knowledge Transfer76
Table of Contents76
Enhancing Dynamic Constrained Multiobjective Optimization With Multicenters-Based Prediction75
Data-Driven Dynamic Multiobjective Optimization With Response to Stochastic Changes for Municipal Solid Waste Incineration Process74
IEEE Transactions on Evolutionary Computation Information for Authors74
Controlling Functional Complexity for Overfitting Reduction and Improved Interpretability in GP73
Enhancing 3-D Land Seismic Data Using Nonlinear Beamforming Based on the Efficiency-Improved Genetic Algorithm73
Multitree Genetic Programming for Learning Color and Multiscale Features in Image Classification71
A Subspace Sparsity-Driven Knowledge Transfer Strategy for Dynamic Constrained Multiobjective Optimization71
Frequency Fitness Assignment: Optimization Without Bias for Good Solutions Can Be Efficient71
Efficient Greedy Decremental Hypervolume Subset Selection Using Space Partition Tree71
Many-to-Few Decomposition: Linking R2-Based and Decomposition-Based Multiobjective Efficient Global Optimization Algorithms69
A Variable Granularity Search-Based Multiobjective Feature Selection Algorithm for High-Dimensional Data Classification68
A Large-Scale Multiobjective Evolutionary Quantile Estimation Model for Wind Power Probabilistic Forecasting68
Decomposition-Based Multiobjective Optimization Algorithms With Adaptively Adjusting Weight Vectors and Neighborhoods68
Adaptive Multifactorial Evolutionary Optimization for Multitask Reinforcement Learning68
Plotting Impossible? Surveying Visualization Methods for Continuous Multi-Objective Benchmark Problems68
A Distributed Model Predictive Control-Based Method for Multidifferent-Target Search in Unknown Environments68
Autoencoding With a Classifier System68
A Unified Innovized Progress Operator for Performance Enhancement in Evolutionary Multi- and Many-Objective Optimization67
IEEE Transactions on Evolutionary Computation Publication Information65
MedNAS: Multiscale Training-Free Neural Architecture Search for Medical Image Analysis65
Introducing IEEE Collabratec64
TechRxiv: Share Your Preprint Research with the World!62
Table of contents61
Learning-Based Temporal Sequence of Constrained Handling Selection for Constrained Multi-objective Evolutionary Optimization61
Superpixel Segmentation-Based Evolutionary Multitasking Algorithm for Feature Selection of Hyperspectral Images60
A Size-Imbalanced Dual Population with Complementary Search for Sparse Large-Scale Multi-Modal Multi-Objective Optimization60
Evolutionary Computation for the Design and Enrichment of General-Purpose Artificial Intelligence Systems: Survey and Prospects59
IEEE Transactions on Evolutionary Computation Publication Information59
Multitree Genetic Programming With New Operators for Transfer Learning in Symbolic Regression With Incomplete Data58
An Efficient Adaptive Differential Grouping Algorithm for Large-Scale Black-Box Optimization58
DG-SMOTE: A Distance-Angle-Based Genetic Synthetic Minority Over-Sampling Technique for Unbalanced Data Learning58
Surrogate-Assisted Evolutionary Algorithm for Expensive Optimization with Equality and Inequality Constraints58
Historical Information-Assisted Dynamic Response Integration and Adaptive Niche Methods for Dynamic Multimodal Optimization58
Objective Space-Based Population Generation to Accelerate Evolutionary Algorithms for Large-Scale Many-Objective Optimization56
A Global and Local Surrogate-Assisted Genetic Programming Approach to Image Classification56
EGANS: Evolutionary Generative Adversarial Network Search for Zero-Shot Learning56
Spatial-Temporal Knowledge Transfer for Dynamic Constrained Multiobjective Optimization55
A Knowledge Guided Transfer Strategy for Evolutionary Dynamic Multiobjective Optimization55
IEEE Transactions on Evolutionary Computation Information for Authors53
IEEE Transactions on Evolutionary Computation Publication Information52
An Interval Multiobjective Evolutionary Generation Algorithm for Product Design Change Plans in Uncertain Environments51
IEEE Transactions on Evolutionary Computation Information for Auhtors51
Conditional-Surrogate-Assisted Particle Swarm Optimization for Large-Scale Robust Optimization Over Time51
IEEE Computational Intelligence Society Information51
Visualizing Population Dynamics to Examine Algorithm Performance50
Gradual Innovative Transitional Solutions Improving Current to a Desired Target: Innovation Path49
Optimal Transport-Based Distributional Pairing in Transfer Multiobjective Optimization48
Benchmarking Feature-Based Algorithm Selection Systems for Black-Box Numerical Optimization47
A Decomposition-Based Evolutionary Algorithm With Clustering and Hierarchical Estimation for Multi-Objective Fuzzy Flexible Jobshop Scheduling47
Nonzero Degree-Based Multiobjective Cooperative Coevolutionary for Block Sparse Recovery47
A Surrogate-Assisted Constrained Optimization Evolutionary Algorithm by Searching Multiple Kinds of Global and Local Regions46
Distributed Co-Evolutionary Memetic Algorithm for Distributed Hybrid Differentiation Flowshop Scheduling Problem45
An Evolutionary Algorithm Based on CMSA for Rooted Max Tree Coverage45
Neural Architecture Search with Progressive Evaluation and Subpopulation Preservation44
Objective-Constraint Mutual-Guided Surrogate-Based Particle Swarm Optimization for Expensive Constrained Multimodal Problems44
Learning to Preselection: A Filter-Based Performance Predictor for Multiobjective Feature Selection in Classification44
A Novel Dual-Stage Dual-Population Evolutionary Algorithm for Constrained Multiobjective Optimization43
A Survey on Evolutionary Computation for Computer Vision and Image Analysis: Past, Present, and Future Trends43
Evolutionary Multitasking for Costly Task Offloading in Mobile-Edge Computing Networks43
Solving Multiobjective Feature Selection Problems in Classification via Problem Reformulation and Duplication Handling43
A Multiobjective Multitask Optimization Algorithm Using Transfer Rank42
Neural Architecture Search Based on a Multi-Objective Evolutionary Algorithm With Probability Stack41
Expensive Multiobjective Evolutionary Optimization Assisted by Dominance Prediction41
A Tree-Based Multiobjective Evolutionary Algorithm for Energy-Efficient Hybrid Flow-Shop Scheduling41
Elite Archive-Assisted Adaptive Memetic Algorithm for a Realistic Hybrid Differentiation Flowshop Scheduling Problem40
IEEE Transactions on Evolutionary Computation Information for Authors39
Multiobjective-Based Constraint-Handling Technique for Evolutionary Constrained Multiobjective Optimization: A New Perspective39
Semiparametric Estimation of Distribution Algorithms for Continuous Optimization39
Thank You for Your Authorship39
Active Learning in Genetic Programming: Guiding Efficient Data Collection for Symbolic Regression38
Runtime Analysis of the Compact Genetic Algorithm on the LeadingOnes Benchmark38
From Direct to Directional Variable Dependencies—Nonsymmetrical Dependencies Discovery in Real-World and Theoretical Problems38
Learning to Approximate: Auto Direction Vector Set Generation for Hypervolume Contribution Approximation38
Can Evolutionary Clustering Have Theoretical Guarantees?38
Counterintuitive Experimental Results in Evolutionary Large-Scale Multiobjective Optimization37
Table of Contents37
A Quantum Evolutionary Learning Tracker for Video36
Domain Generalization-Based Dynamic Multiobjective Optimization: A Case Study on Disassembly Line Balancing36
Cross-Task Collaborative Optimization Based on Knowledge Transfer for Soft Robot Design35
A Divergence-Based Condition to Ensure Quantile Improvement in Black-Box Global Optimization35
Targeted Pareto Optimization for Subset Selection With Monotone Objective Function and Cardinality Constraint35
A Multifidelity Approach for Bilevel Optimization With Limited Computing Budget35
IEEE Transactions on Evolutionary Computation Publication Information34
A Voting-Mechanism-Based Ensemble Framework for Constraint Handling Techniques34
Identifying Pareto Fronts Reliably Using a Multistage Reference-Vector-Based Framework34
Balancing Different Optimization Difficulty Between Objectives in Multiobjective Feature Selection33
Neural Architecture Search for Text Classification With Limited Computing Resources Using Efficient Cartesian Genetic Programming33
Machine Learning-Assisted Multiobjective Evolutionary Algorithm for Routing and Packing32
Automated Metaheuristic Algorithm Design With Autoregressive Learning32
Leader Prediction for Multiobjective Particle Swarm Optimization32
Run Time Analysis for Random Local Search on Generalized Majority Functions32
Enhancing Fitness Evaluation in Genetic Algorithm-Based Architecture Search for AI-Aided Financial Regulation32
Enhancing Diversity by Local Subset Selection in Evolutionary Multiobjective Optimization32
Correlation-Guided Updating Strategy for Feature Selection in Classification With Surrogate-Assisted Particle Swarm Optimization31
A Divide-and-Conquer Genetic Programming Algorithm With Ensembles for Image Classification31
Collaborative Evolutionary Multitasking Multiobjective Adversarial Attacks in Hyperspectral Image Classification30
IEEE Transactions on Evolutionary Computation Publication Information30
Balancing Objective Optimization and Constraint Satisfaction in Expensive Constrained Evolutionary Multiobjective Optimization30
Together, we are advancing technology30
TechRxiv: Share Your Preprint Research with the World!30
Surrogate-Assisted Environmental Selection for Fast Hypervolume-Based Many-Objective Optimization30
IEEE Transactions on Evolutionary Computation Information for Authors30
A Multimodal Ant Colony Optimization Framework for Multi-Solution Traveling Salesman Problem30
Table of Contents29
A Generative Adversarial Network Based Prediction Strategy for Evolutionary Dynamic Multiobjective Optimization29
A Fitness Spatially Informed Evolutionary Algorithm for Deceptive Multi-Modal Multi-Objective Optimization29
Evolutionary Multiobjective Clustering Over Multiple Conflicting Data Views28
Analyzing Dominance Move (MIP-DoM) Indicator for Multiobjective and Many-Objective Optimization28
An Efficient Data-Driven Framework for Detecting Infeasible Solutions in Multiobjective Evolutionary Bilevel Optimization28
Feature Extraction for Recommendation of Constrained Multiobjective Evolutionary Algorithms28
An Iterated Greedy Algorithm With Reinforcement Learning for Distributed Hybrid Flowshop Problems With Job Merging27
A Multitask Bee Colony Band Selection Algorithm With Variable-Size Clustering for Hyperspectral Images27
Differential Evolution With Domain Transform27
Exact and Deep Q-Network Assisted Swarm Intelligence Methods for Scheduling Multiobjective Heterogeneous Unmanned Surface Vehicles27
Protein Structure Prediction Using a New Optimization-Based Evolutionary and Explainable Artificial Intelligence Approach27
Dynamic Cascaded Flow-Shop Scheduling Using an Evolutionary Greedy Algorithm26
Evolutionary Reinforcement Learning With Late-Start Evolution and Clustering Archive26
A Multiform Evolutionary Search Paradigm for Bilevel Multiobjective Optimization26
A Data-Driven Evolutionary Transfer Optimization for Expensive Problems in Dynamic Environments26
A Mahalanobis Distance-Based Approach for Dynamic Multiobjective Optimization With Stochastic Changes26
Genetic Programming Hyper Heuristic With Elitist Mutation for Integrated Order Batching and Picker Routing Problem26
Genetic Programming for Image Classification: A New Program Representation With Flexible Feature Reuse26
Genetic Programming With Flexible Region Detection for Fine-Grained Image Classification25
Posterior Decision Making Based on Decomposition-Driven Knee Point Identification25
Multitask Shape Optimization Using a 3-D Point Cloud Autoencoder as Unified Representation25
A Joint-Encoding Evolutionary Algorithm for Multimodal Multiobjective Feature Selection in Classification25
A Feedback Learning-Based Memetic Algorithm for Energy-Aware Distributed Flexible Job-Shop Scheduling With Transportation Constraints25
Dual-Tree Genetic Programming for Few-Shot Image Classification25
A Multistage Algorithm for Solving Multiobjective Optimization Problems With Multiconstraints25
IEEE Transactions on Evolutionary Computation Publication Information25
IEEE Computational Intelligence Society Information24
IEEE Transactions on Evolutionary Computation Information for Authors24
IEEE Computational Intelligence Society Information24
Light-EvoOPT: A Lightweight Evolutionary Optimization Framework for Ultra-Large-Scale Mixed Integer Linear Programs24
A Two-stage Cooperative Discrete Differential Evolution With Q-Learning for Multi-Objective Energy-Efficient Distributed Blocking Flow-Shop Scheduling23
ConCS: A Continual Classifier System for Continual Learning of Multiple Boolean Problems23
A Knee-Guided Evolutionary Algorithm for Multi-Objective Air Traffic Flow Management23
Solution Transfer in Evolutionary Optimization: An Empirical Study on Sequential Transfer23
Incremental Recursive Ranking Grouping for Large-Scale Global Optimization23
Table of Contents23
Dealing With Structure Constraints in Evolutionary Pareto Set Learning23
A Two-Individual Evolutionary Algorithm for Cumulative Capacitated Vehicle Routing With Single and Multiple Depots22
A Scalable Many-Objective Pathfinding Benchmark Suite22
Knowledge Transfer Genetic Programming With Auxiliary Population for Solving Uncertain Capacitated Arc Routing Problem22
Correlation-Based Dynamic Allocation Scheme of Fitness Evaluations for Constrained Evolutionary Optimization22
Region Purity-Based Local Feature Selection: A Multiobjective Perspective21
Expensive Multiobjective Optimization by Relation Learning and Prediction21
A Framework Based on Historical Evolution Learning for Dynamic Multiobjective Optimization21
Computationally Expensive High-Dimensional Multiobjective Optimization via Surrogate-Assisted Reformulation and Decomposition21
Tailoring Evolutionary Algorithms to Solve the Multiobjective Location-Routing Problem for Biomass Waste Collection21
Optimizing Dynamic Flexible Job Shop Scheduling Using an Evolutionary Multitask Optimization Framework and Genetic Programming21
Benchmarking Derivative-Free Global Optimization Algorithms Under Limited Dimensions and Large Evaluation Budgets21
ACO-GA-Based Optimization to Enhance Global Path Planning for Autonomous Navigation in Grid Environments21
(θl,θu)-Parametric Multi-Task Optimization: Joint Search in Solution and Infinite Task Spaces20
Statistical Models for the Analysis of Optimization Algorithms With Benchmark Functions20
Evolutionary Direction Learning With Multivariate Gaussian Probabilistic Model for Multiobjective Optimization20
Table of Contents20
Leader-Follower Disagreement Minimization in Social Networks20
Nearest-Better Network for Visualizing and Analyzing Combinatorial Optimization Problems: A Potential Unified Tool20
IEEE Transactions on Evolutionary Computation Information for Authors20
Co-Evolutionary Dual-Tree Genetic Programming for Fine-Grained Flower Image Classification20
Quantum Acceleration of Black-Box Pseudo-Boolean Optimization Algorithms19
Set Theory-Based Operator Design in Evolutionary Algorithms for Solving Knapsack Problems19
Large-Scale Multimodal Multiobjective Optimization Based on Multiview Diversity Enhancement Mechanism19
Bilevel Optimization via Collaborations Among Lower-Level Optimization Tasks19
Accelerating Bilevel Optimization with Hierarchical Many-threaded Parallel Differential Evolution19
Evolutionary Bilevel Optimization via Multiobjective Transformation-Based Lower-Level Search19
Standardization and Data Augmentation in Genetic Programming19
Determining Metaheuristic Similarity Using Behavioral Analysis19
Dynamic In Vivo Computation for Learning-Based Nanobiosensing in Time-Varying Biological Landscapes19
The Physical Cell Identity Assignment Problem: A Practical Optimization Approach19
Riesz s-Energy as a Diversity Indicator in Evolutionary Multiobjective Optimization19
Offline Data-Driven Optimization at Scale: A Cooperative Coevolutionary Approach19
A Semantic-Based Hoist Mutation Operator for Evolutionary Feature Construction in Regression19
Fast Greedy Subset Selection From Large Candidate Solution Sets in Evolutionary Multiobjective Optimization18
Effects of Archive Size on Computation Time and Solution Quality for Multiobjective Optimization18
Benchmarking Optimization Algorithms for Auto-Tuning GPU Kernels18
An Enhanced Competitive Swarm Optimizer With Strongly Convex Sparse Operator for Large-Scale Multiobjective Optimization18
Exploring the Performance-Reproducibility Trade-off in Quality-Diversity18
A Streaming Feature Selection Method Based on Dynamic Feature Clustering and Particle Swarm Optimization18
Privacy-Enhanced Multitasking Particle Swarm Optimization Based on Homomorphic Encryption18
A Tractive Population-Assisted Dual-Population and Two-Phase Evolutionary Algorithm for Constrained Multiobjective Optimization18
Discovering Infinite Recursive Conjectures Through Genetic Programming17
Table of Contents17
Evaluation of Frameworks That Combine Evolution and Learning to Design Robots in Complex Morphological Spaces17
Speeding-Up Evolutionary Algorithms to Solve Black-Box Optimization Problems17
IEEE Transactions on Evolutionary Computation Publication Information17
A Crowding Distance That Provably Solves the Difficulties of the NSGA-II in Many-Objective Optimization17
Solving the Single-Row Facility Layout Problem by K-Medoids Memetic Permutation Group17
Nanorobots-Assisted In Vivo Computational Methodology for Tumor Lesion Exploitation and Lesion Boundary Exploration17
Optimization of an Implicit Acquisition Function for Federated Bayesian Many-Task Optimization17
A Survey on Evolutionary Computation for Identifying Biomarkers of Complex Disease17
Few for Many: Towards Efficient and Flexible Many-Objective Optimization17
Using an Estimation of Distribution Algorithm to Achieve Multitasking Semantic Web Service Composition17
A Large-scale Expensive Optimization Algorithm with a Multi-view Synthetic Sampling17
On the Evolutionary Synthesis of Fault-Resilient Digital Circuits17
An Evolution Strategy With Adaptive Fitness Sharing for Multimodal Multiobjective Optimization17
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