OOIR: Observatory of International Research

Papers

(The H4-Index of IEEE Transactions on Evolutionary Computation is 49. 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.)

Article	Citations
A Coevolutionary Framework for Constrained Multiobjective Optimization Problems	353
A Survey on the Hypervolume Indicator in Evolutionary Multiobjective Optimization	182
A Kriging-Assisted Two-Archive Evolutionary Algorithm for Expensive Many-Objective Optimization	133
A Survey on Evolutionary Constrained Multiobjective Optimization	133
A Dual-Population-Based Evolutionary Algorithm for Constrained Multiobjective Optimization	127
Surrogate-Assisted Evolutionary Multitask Genetic Programming for Dynamic Flexible Job Shop Scheduling	125
Knee Point-Based Imbalanced Transfer Learning for Dynamic Multiobjective Optimization	124
An Evolutionary Multitasking Optimization Framework for Constrained Multiobjective Optimization Problems	121
Multiobjective Evolutionary Design of Deep Convolutional Neural Networks for Image Classification	117
Multimodal Multiobjective Evolutionary Optimization With Dual Clustering in Decision and Objective Spaces	108
Investigating the Properties of Indicators and an Evolutionary Many-Objective Algorithm Using Promising Regions	105
A Cooperative Memetic Algorithm With Learning-Based Agent for Energy-Aware Distributed Hybrid Flow-Shop Scheduling	104
SAFE: Scale-Adaptive Fitness Evaluation Method for Expensive Optimization Problems	95
An Enhanced Competitive Swarm Optimizer With Strongly Convex Sparse Operator for Large-Scale Multiobjective Optimization	93
Weighted Indicator-Based Evolutionary Algorithm for Multimodal Multiobjective Optimization	92
Evolutionary Multitasking for Feature Selection in High-Dimensional Classification via Particle Swarm Optimization	91
Large-Scale Evolutionary Multiobjective Optimization Assisted by Directed Sampling	90
Dual-Surrogate-Assisted Cooperative Particle Swarm Optimization for Expensive Multimodal Problems	85
A Classifier-Assisted Level-Based Learning Swarm Optimizer for Expensive Optimization	80
A Meta-Knowledge Transfer-Based Differential Evolution for Multitask Optimization	80
A Duplication Analysis-Based Evolutionary Algorithm for Biobjective Feature Selection	79
Adaptive Genetic Algorithm-Aided Neural Network With Channel State Information Tensor Decomposition for Indoor Localization	76
A Multipopulation Evolutionary Algorithm for Solving Large-Scale Multimodal Multiobjective Optimization Problems	73
Region Encoding Helps Evolutionary Computation Evolve Faster: A New Solution Encoding Scheme in Particle Swarm for Large-Scale Optimization	73
Learning Adaptive Differential Evolution Algorithm From Optimization Experiences by Policy Gradient	71

Indicator-Based Evolutionary Algorithm for Solving Constrained Multiobjective Optimization Problems	66
A Survey of Evolutionary Continuous Dynamic Optimization Over Two Decades—Part B	64
Surrogate-Assisted Autoencoder-Embedded Evolutionary Optimization Algorithm to Solve High-Dimensional Expensive Problems	64
A Review on Evolutionary Multitask Optimization: Trends and Challenges	63
Solving Multitask Optimization Problems With Adaptive Knowledge Transfer via Anomaly Detection	62
A Survey on Evolutionary Construction of Deep Neural Networks	62
A Survey of Evolutionary Continuous Dynamic Optimization Over Two Decades—Part A	61
MO4: A Many-Objective Evolutionary Algorithm for Protein Structure Prediction	61
Evolutionary Game Analysis Among Three Green-Sensitive Parties in Green Supply Chains	61
Evolutionary Multiform Optimization With Two-Stage Bidirectional Knowledge Transfer Strategy for Point Cloud Registration	59
Dynamic Auxiliary Task-Based Evolutionary Multitasking for Constrained Multiobjective Optimization	58
Hierarchy Ranking Method for Multimodal Multiobjective Optimization With Local Pareto Fronts	58
Multiple Penalties and Multiple Local Surrogates for Expensive Constrained Optimization	56
AS-NAS: Adaptive Scalable Neural Architecture Search With Reinforced Evolutionary Algorithm for Deep Learning	56
An Efficient Recursive Differential Grouping for Large-Scale Continuous Problems	54
Landscape-Aware Performance Prediction for Evolutionary Multiobjective Optimization	54
A Learning-Based Memetic Algorithm for Energy-Efficient Flexible Job-Shop Scheduling With Type-2 Fuzzy Processing Time	53
Generating Well-Spaced Points on a Unit Simplex for Evolutionary Many-Objective Optimization	52
Correlation Coefficient-Based Recombinative Guidance for Genetic Programming Hyperheuristics in Dynamic Flexible Job Shop Scheduling	52
A Fast Kriging-Assisted Evolutionary Algorithm Based on Incremental Learning	50
A Grid-Based Inverted Generational Distance for Multi/Many-Objective Optimization	50
Paired Offspring Generation for Constrained Large-Scale Multiobjective Optimization	49
A Greedy Cooperative Co-Evolutionary Algorithm With Problem-Specific Knowledge for Multiobjective Flowshop Group Scheduling Problems	49
Genetic Programming With Image-Related Operators and a Flexible Program Structure for Feature Learning in Image Classification	49