IEEE Transactions on Evolutionary Computation

Papers
(The TQCC of IEEE Transactions on Evolutionary Computation is 14. 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 2020-11-01 to 2024-11-01.)
ArticleCitations
A Coevolutionary Framework for Constrained Multiobjective Optimization Problems353
A Survey on the Hypervolume Indicator in Evolutionary Multiobjective Optimization182
A Kriging-Assisted Two-Archive Evolutionary Algorithm for Expensive Many-Objective Optimization133
A Survey on Evolutionary Constrained Multiobjective Optimization133
A Dual-Population-Based Evolutionary Algorithm for Constrained Multiobjective Optimization127
Surrogate-Assisted Evolutionary Multitask Genetic Programming for Dynamic Flexible Job Shop Scheduling125
Knee Point-Based Imbalanced Transfer Learning for Dynamic Multiobjective Optimization124
An Evolutionary Multitasking Optimization Framework for Constrained Multiobjective Optimization Problems121
Multiobjective Evolutionary Design of Deep Convolutional Neural Networks for Image Classification117
Multimodal Multiobjective Evolutionary Optimization With Dual Clustering in Decision and Objective Spaces108
Investigating the Properties of Indicators and an Evolutionary Many-Objective Algorithm Using Promising Regions105
A Cooperative Memetic Algorithm With Learning-Based Agent for Energy-Aware Distributed Hybrid Flow-Shop Scheduling104
SAFE: Scale-Adaptive Fitness Evaluation Method for Expensive Optimization Problems95
An Enhanced Competitive Swarm Optimizer With Strongly Convex Sparse Operator for Large-Scale Multiobjective Optimization93
Weighted Indicator-Based Evolutionary Algorithm for Multimodal Multiobjective Optimization92
Evolutionary Multitasking for Feature Selection in High-Dimensional Classification via Particle Swarm Optimization91
Large-Scale Evolutionary Multiobjective Optimization Assisted by Directed Sampling90
Dual-Surrogate-Assisted Cooperative Particle Swarm Optimization for Expensive Multimodal Problems85
A Classifier-Assisted Level-Based Learning Swarm Optimizer for Expensive Optimization80
A Meta-Knowledge Transfer-Based Differential Evolution for Multitask Optimization80
A Duplication Analysis-Based Evolutionary Algorithm for Biobjective Feature Selection79
Adaptive Genetic Algorithm-Aided Neural Network With Channel State Information Tensor Decomposition for Indoor Localization76
Region Encoding Helps Evolutionary Computation Evolve Faster: A New Solution Encoding Scheme in Particle Swarm for Large-Scale Optimization73
A Multipopulation Evolutionary Algorithm for Solving Large-Scale Multimodal Multiobjective Optimization Problems73
Learning Adaptive Differential Evolution Algorithm From Optimization Experiences by Policy Gradient71
Indicator-Based Evolutionary Algorithm for Solving Constrained Multiobjective Optimization Problems66
Surrogate-Assisted Autoencoder-Embedded Evolutionary Optimization Algorithm to Solve High-Dimensional Expensive Problems64
A Survey of Evolutionary Continuous Dynamic Optimization Over Two Decades—Part B64
A Review on Evolutionary Multitask Optimization: Trends and Challenges63
Solving Multitask Optimization Problems With Adaptive Knowledge Transfer via Anomaly Detection62
A Survey on Evolutionary Construction of Deep Neural Networks62
A Survey of Evolutionary Continuous Dynamic Optimization Over Two Decades—Part A61
MO4: A Many-Objective Evolutionary Algorithm for Protein Structure Prediction61
Evolutionary Game Analysis Among Three Green-Sensitive Parties in Green Supply Chains61
Evolutionary Multiform Optimization With Two-Stage Bidirectional Knowledge Transfer Strategy for Point Cloud Registration59
Dynamic Auxiliary Task-Based Evolutionary Multitasking for Constrained Multiobjective Optimization58
Hierarchy Ranking Method for Multimodal Multiobjective Optimization With Local Pareto Fronts58
Multiple Penalties and Multiple Local Surrogates for Expensive Constrained Optimization56
AS-NAS: Adaptive Scalable Neural Architecture Search With Reinforced Evolutionary Algorithm for Deep Learning56
An Efficient Recursive Differential Grouping for Large-Scale Continuous Problems54
Landscape-Aware Performance Prediction for Evolutionary Multiobjective Optimization54
A Learning-Based Memetic Algorithm for Energy-Efficient Flexible Job-Shop Scheduling With Type-2 Fuzzy Processing Time53
Generating Well-Spaced Points on a Unit Simplex for Evolutionary Many-Objective Optimization52
Correlation Coefficient-Based Recombinative Guidance for Genetic Programming Hyperheuristics in Dynamic Flexible Job Shop Scheduling52
A Fast Kriging-Assisted Evolutionary Algorithm Based on Incremental Learning50
A Grid-Based Inverted Generational Distance for Multi/Many-Objective Optimization50
Paired Offspring Generation for Constrained Large-Scale Multiobjective Optimization49
A Greedy Cooperative Co-Evolutionary Algorithm With Problem-Specific Knowledge for Multiobjective Flowshop Group Scheduling Problems49
Genetic Programming With Image-Related Operators and a Flexible Program Structure for Feature Learning in Image Classification49
Efficient Evolutionary Search of Attention Convolutional Networks via Sampled Training and Node Inheritance48
Evolutionary Many-Task Optimization Based on Multisource Knowledge Transfer47
Knee-Based Decision Making and Visualization in Many-Objective Optimization47
Regularized Evolutionary Multitask Optimization: Learning to Intertask Transfer in Aligned Subspace47
Identifying Influential Spreaders in Social Networks Through Discrete Moth-Flame Optimization46
A Novel Dual-Stage Dual-Population Evolutionary Algorithm for Constrained Multiobjective Optimization46
Correlation-Guided Updating Strategy for Feature Selection in Classification With Surrogate-Assisted Particle Swarm Optimization46
Differential Evolution-Based Feature Selection: A Niching-Based Multiobjective Approach46
A Review of Population-Based Metaheuristics for Large-Scale Black-Box Global Optimization—Part I46
Evolutionary Neural Architecture Search for High-Dimensional Skip-Connection Structures on DenseNet Style Networks46
Clustering-Guided Particle Swarm Feature Selection Algorithm for High-Dimensional Imbalanced Data With Missing Values45
A Unified Framework of Graph-Based Evolutionary Multitasking Hyper-Heuristic45
A Hybrid Deep Grouping Algorithm for Large Scale Global Optimization45
Convolutional Neural Networks-Based Lung Nodule Classification: A Surrogate-Assisted Evolutionary Algorithm for Hyperparameter Optimization44
Multipopulation Ant Colony System With Knowledge-Based Local Searches for Multiobjective Supply Chain Configuration44
Learnable Evolutionary Search Across Heterogeneous Problems via Kernelized Autoencoding43
A Survey of Normalization Methods in Multiobjective Evolutionary Algorithms43
Multiple Classifiers-Assisted Evolutionary Algorithm Based on Decomposition for High-Dimensional Multiobjective Problems43
Expensive Multiobjective Optimization by Relation Learning and Prediction43
Objective Space-Based Population Generation to Accelerate Evolutionary Algorithms for Large-Scale Many-Objective Optimization42
A Surrogate-Assisted Evolutionary Feature Selection Algorithm With Parallel Random Grouping for High-Dimensional Classification42
Constrained Multiobjective Optimization: Test Problem Construction and Performance Evaluations42
Multiobjective Multitask Optimization-Neighborhood as a Bridge for Knowledge Transfer41
Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance Assessment41
Does Preference Always Help? A Holistic Study on Preference-Based Evolutionary Multiobjective Optimization Using Reference Points40
Two-Stage Double Niched Evolution Strategy for Multimodal Multiobjective Optimization38
Evolutionary Multitask Optimization With Adaptive Knowledge Transfer37
Learning to Accelerate Evolutionary Search for Large-Scale Multiobjective Optimization37
A Multivariation Multifactorial Evolutionary Algorithm for Large-Scale Multiobjective Optimization37
Real-Time Federated Evolutionary Neural Architecture Search37
Learning-Aided Evolution for Optimization36
A Review of Population-Based Metaheuristics for Large-Scale Black-Box Global Optimization—Part II36
SFE: A Simple, Fast, and Efficient Feature Selection Algorithm for High-Dimensional Data35
An Ensemble Surrogate-Based Framework for Expensive Multiobjective Evolutionary Optimization35
A General Dichotomy of Evolutionary Algorithms on Monotone Functions35
Sharp Bounds for Genetic Drift in Estimation of Distribution Algorithms35
PSO-X: A Component-Based Framework for the Automatic Design of Particle Swarm Optimization Algorithms34
Explainable Artificial Intelligence by Genetic Programming: A Survey34
A Voting-Mechanism-Based Ensemble Framework for Constraint Handling Techniques34
A Fuzzy Decision Variables Framework for Large-Scale Multiobjective Optimization34
A Novel Training Protocol for Performance Predictors of Evolutionary Neural Architecture Search Algorithms33
Neural Architecture Search Based on a Multi-Objective Evolutionary Algorithm With Probability Stack33
A Variable Granularity Search-Based Multiobjective Feature Selection Algorithm for High-Dimensional Data Classification33
A Multiobjective Evolutionary Algorithm for Finding Knee Regions Using Two Localized Dominance Relationships32
A New Many-Objective Evolutionary Algorithm Based on Determinantal Point Processes32
Orthogonal Transfer for Multitask Optimization31
Expensive Multiobjective Evolutionary Optimization Assisted by Dominance Prediction31
A Knowledge Guided Transfer Strategy for Evolutionary Dynamic Multiobjective Optimization31
Self-Adjusting Multitask Particle Swarm Optimization31
From Prediction to Prescription: Evolutionary Optimization of Nonpharmaceutical Interventions in the COVID-19 Pandemic30
A Review on Convolutional Neural Network Encodings for Neuroevolution30
An Approximated Gradient Sign Method Using Differential Evolution for Black-Box Adversarial Attack30
Significance-Based Estimation-of-Distribution Algorithms29
A Survey on Knee-Oriented Multiobjective Evolutionary Optimization29
A Computationally Efficient Evolutionary Algorithm for Multiobjective Network Robustness Optimization29
Survey on Genetic Programming and Machine Learning Techniques for Heuristic Design in Job Shop Scheduling29
Surrogate Sample-Assisted Particle Swarm Optimization for Feature Selection on High-Dimensional Data29
Few-Shots Parallel Algorithm Portfolio Construction via Co-Evolution29
An Online Prediction Approach Based on Incremental Support Vector Machine for Dynamic Multiobjective Optimization28
Enhanced Constraint Handling for Reliability-Constrained Multiobjective Testing Resource Allocation28
Evolutionary Machine Learning With Minions: A Case Study in Feature Selection28
A Framework for Scalable Bilevel Optimization: Identifying and Utilizing the Interactions Between Upper-Level and Lower-Level Variables28
Evolving Deep Convolutional Variational Autoencoders for Image Classification28
A Comprehensive Survey on Program Synthesis With Evolutionary Algorithms27
Adaptive Multifactorial Evolutionary Optimization for Multitask Reinforcement Learning27
Empirical Linkage Learning27
Gene Targeting Differential Evolution: A Simple and Efficient Method for Large-Scale Optimization27
A Survey on Evolutionary Multiobjective Feature Selection in Classification: Approaches, Applications, and Challenges27
Genetic Programming With Niching for Uncertain Capacitated Arc Routing Problem27
Confidence-Based Ant Colony Optimization for Capacitated Electric Vehicle Routing Problem With Comparison of Different Encoding Schemes26
Evolutionary Multitasking for Large-Scale Multiobjective Optimization26
Variable Population Memetic Search: A Case Study on the Critical Node Problem26
Distributed and Expensive Evolutionary Constrained Optimization With On-Demand Evaluation25
Distributed Co-Evolutionary Memetic Algorithm for Distributed Hybrid Differentiation Flowshop Scheduling Problem25
A Competitive and Cooperative Swarm Optimizer for Constrained Multiobjective Optimization Problems25
A Stochastic Simulation Optimization-Based Range Gate Pull-Off Jamming Method25
Partial Evaluation Strategies for Expensive Evolutionary Constrained Optimization25
A Correlation-Guided Layered Prediction Approach for Evolutionary Dynamic Multiobjective Optimization25
Evolutionary Competitive Multitasking Optimization24
CDE-GAN: Cooperative Dual Evolution-Based Generative Adversarial Network24
A First Runtime Analysis of the NSGA-II on a Multimodal Problem24
Realistic Constrained Multiobjective Optimization Benchmark Problems From Design23
Dynamic Transfer Reference Point-Oriented MOEA/D Involving Local Objective-Space Knowledge23
Task Allocation on Layered Multiagent Systems: When Evolutionary Many-Objective Optimization Meets Deep Q-Learning23
Multiple Populations for Multiple Objectives Framework With Bias Sorting for Many-Objective Optimization23
Merged Differential Grouping for Large-Scale Global Optimization23
On the Effect of the Cooperation of Indicator-Based Multiobjective Evolutionary Algorithms23
A Diversity-Enhanced Subset Selection Framework for Multimodal Multiobjective Optimization23
A Bi-Objective Knowledge Transfer Framework for Evolutionary Many-Task Optimization23
Evolutionary Search With Multiview Prediction for Dynamic Multiobjective Optimization22
Surrogate-Assisted Differential Evolution With Adaptive Multisubspace Search for Large-Scale Expensive Optimization22
Two-Stage Evolutionary Neural Architecture Search for Transfer Learning22
A Survey on Evolutionary Computation for Computer Vision and Image Analysis: Past, Present, and Future Trends22
A Survey on Learnable Evolutionary Algorithms for Scalable Multiobjective Optimization22
Evolutionary Deep Fusion Method and its Application in Chemical Structure Recognition21
A Divide-and-Conquer Genetic Programming Algorithm With Ensembles for Image Classification21
Evolutionary Large-Scale Multiobjective Optimization: Benchmarks and Algorithms21
Binary Relation Learning and Classifying for Preselection in Evolutionary Algorithms20
Offline and Online Objective Reduction via Gaussian Mixture Model Clustering20
Automated Design of Metaheuristics Using Reinforcement Learning Within a Novel General Search Framework20
Evolutionary Search for Complete Neural Network Architectures With Partial Weight Sharing20
Evolutionary Sampling Agent for Expensive Problems20
An Evolutionary Forest for Regression20
Learning Optimality Theory for Accuracy-Based Learning Classifier Systems20
Elite Archive-Assisted Adaptive Memetic Algorithm for a Realistic Hybrid Differentiation Flowshop Scheduling Problem20
Evolutionary Optimization of COVID-19 Vaccine Distribution With Evolutionary Demands20
A Performance Indicator-Based Infill Criterion for Expensive Multi-/Many-Objective Optimization20
A Multiobjective Multitask Optimization Algorithm Using Transfer Rank19
Transfer Learning-Based Parallel Evolutionary Algorithm Framework for Bilevel Optimization19
An Evolutionary Multitasking Algorithm With Multiple Filtering for High-Dimensional Feature Selection19
Multiobjective Differential Evolution With Speciation for Constrained Multimodal Multiobjective Optimization19
A Multitask Bee Colony Band Selection Algorithm With Variable-Size Clustering for Hyperspectral Images18
A Learning-Based Multipopulation Evolutionary Optimization for Flexible Job Shop Scheduling Problem With Finite Transportation Resources18
A Scalable Many-Objective Pathfinding Benchmark Suite18
A Multistage Algorithm for Solving Multiobjective Optimization Problems With Multiconstraints18
A Large-Scale Combinatorial Many-Objective Evolutionary Algorithm for Intensity-Modulated Radiotherapy Planning18
Task Relatedness-Based Multitask Genetic Programming for Dynamic Flexible Job Shop Scheduling18
Reducing Negative Transfer Learning via Clustering for Dynamic Multiobjective Optimization18
Fast Greedy Subset Selection From Large Candidate Solution Sets in Evolutionary Multiobjective Optimization18
Particle Swarm Optimization for Compact Neural Architecture Search for Image Classification17
Learning and Sharing: A Multitask Genetic Programming Approach to Image Feature Learning17
Hybridization of Evolutionary Algorithm and Deep Reinforcement Learning for Multiobjective Orienteering Optimization17
Ensemble of Dynamic Resource Allocation Strategies for Decomposition-Based Multiobjective Optimization17
Enhanced Innovized Progress Operator for Evolutionary Multi- and Many-Objective Optimization17
Multitask Shape Optimization Using a 3-D Point Cloud Autoencoder as Unified Representation17
Black-Box Optimization Revisited: Improving Algorithm Selection Wizards Through Massive Benchmarking17
Automating Genetic Algorithm Mutations for Molecules Using a Masked Language Model16
Large-Scale Multiobjective Optimization via Reformulated Decision Variable Analysis16
Dual-Tree Genetic Programming for Few-Shot Image Classification16
Random Contrastive Interaction for Particle Swarm Optimization in High-Dimensional Environment16
Parallel Black-Box Complexity With Tail Bounds16
Frames-of-Reference-Based Learning: Overcoming Perceptual Aliasing in Multistep Decision-Making Tasks16
CoEA: A Cooperative–Competitive Evolutionary Algorithm for Bidirectional Recommendations15
Population Diversity of Nonelitist Evolutionary Algorithms in the Exploration Phase15
Region Purity-Based Local Feature Selection: A Multiobjective Perspective15
Unsupervised Behavior Discovery With Quality-Diversity Optimization15
Process Knowledge-Guided Autonomous Evolutionary Optimization for Constrained Multiobjective Problems15
A Genetic Algorithm (GA) and Swarm-Based Binary Decision Diagram (BDD) Reordering Optimizer Reinforced With Recent Operators15
Interaction-Based Prediction for Dynamic Multiobjective Optimization15
Cooperative Coevolution With Knowledge-Based Dynamic Variable Decomposition for Bilevel Multiobjective Optimization15
Knowledge Learning for Evolutionary Computation14
Solving the Single-Row Facility Layout Problem by K-Medoids Memetic Permutation Group14
BenchENAS: A Benchmarking Platform for Evolutionary Neural Architecture Search14
A Visualizable Test Problem Generator for Many-Objective Optimization14
Feature Extraction for Recommendation of Constrained Multiobjective Evolutionary Algorithms14
Surrogate-Assisted Differential Evolution With Region Division for Expensive Optimization Problems With Discontinuous Responses14
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