OOIR: Observatory of International Research

Papers

(The H4-Index of IEEE Transactions on Evolutionary Computation is 59. 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 2021-11-01 to 2025-11-01.)

Article	Citations
TechRxiv: Share Your Preprint Research with the World!	271
Data-Driven Evolutionary Computation Under Continuously Streaming Environments: A Drift-Aware Approach	219
Space Net Optimization for Single Objective Bound Constrained Problems	215
Bayesian Performance Analysis for Algorithm Ranking Comparison	173
Dual Relational Surrogate-Assisted Evolution for Expensive Constrained Multiobjective Optimization	169
Survey on Genetic Programming and Machine Learning Techniques for Heuristic Design in Job Shop Scheduling	160
Surrogate-Assisted Efficient Grouping Evolutionary Search for Expensive Large-Scale Multi-Objective Optimization	149
Genetic Programming for Dynamic Flexible Job Shop Scheduling: Evolution With Single Individuals and Ensembles	143
A Bi-Objective Evolutionary Algorithm for Multimodal Multiobjective Optimization	139
A Correlation-Guided Layered Prediction Approach for Evolutionary Dynamic Multiobjective Optimization	133
Evolutionary Constrained Multiobjective Optimization: Scalable High-Dimensional Constraint Benchmarks and Algorithm	132
A Surrogate-Assisted Evolutionary Feature Selection Algorithm With Parallel Random Grouping for High-Dimensional Classification	130
Quality Indicators for Preference-Based Evolutionary Multiobjective Optimization Using a Reference Point: A Review and Analysis	118
Multiagent Swarm Optimization With Adaptive Internal and External Learning for Complex Consensus-Based Distributed Optimization	117
MORA-LLM: Enhancing Multi-Objective Optimization Recommendation Algorithm by Integrating Large Language Models	112
Approximation Guarantees for the Nondominated Sorting Genetic Algorithm II (NSGA-II)	108
Difficulties of the NSGA-II With the Many-Objective LeadingOnes Problem	99
ENERGIZE: A Neuroevolution Framework for Energy-Efficient Machine Learning	98
Dynamic Multi-Objective Optimisation Based on Vector Autoregressive Evolution	97
BIAS: A Toolbox for Benchmarking Structural Bias in the Continuous Domain	92
Evolutionary Search for Complete Neural Network Architectures With Partial Weight Sharing	92
Revisiting Implicit and Explicit Averaging for Noisy Optimization	91
Brain-Inspired Multiscale Evolutionary Neural Architecture Search for Deep Spiking Neural Networks	90
Multipopulation Ant Colony System With Knowledge-Based Local Searches for Multiobjective Supply Chain Configuration	89
Knowledge Transfer With Mixture Model in Dynamic Multiobjective Optimization	87

EDA++: Estimation of Distribution Algorithms With Feasibility Conserving Mechanisms for Constrained Continuous Optimization	84
A Review on Evolutionary Multitask Optimization: Trends and Challenges	82
A Deep Reinforcement Learning-Assisted Multimodal Multiobjective Bilevel Optimization Method for Multirobot Task Allocation	81
Adversarial AutoEncoder-Based Large-Scale Dynamic Multiobjective Evolutionary Algorithm	81
Table of Contents	78
Fitness Landscape Optimization Makes Stochastic Symbolic Search By Genetic Programming Easier	76
Language Model Evolutionary Algorithms for Recommender Systems: Benchmarks and Algorithm Comparisons	74
Unsupervised Band Selection for Hyperspectral Images Classification: Particle Swarm Optimization via Cross-Domain Knowledge Transfer	74
Table of Contents	74
Controlling Functional Complexity for Overfitting Reduction and Improved Interpretability in GP	73
Frequency Fitness Assignment: Optimization Without Bias for Good Solutions Can Be Efficient	73
Multitree Genetic Programming for Learning Color and Multiscale Features in Image Classification	71
IEEE Transactions on Evolutionary Computation Information for Authors	71
Efficient Greedy Decremental Hypervolume Subset Selection Using Space Partition Tree	71
Data-Driven Dynamic Multiobjective Optimization With Response to Stochastic Changes for Municipal Solid Waste Incineration Process	71
Enhancing 3-D Land Seismic Data Using Nonlinear Beamforming Based on the Efficiency-Improved Genetic Algorithm	69
A Large-Scale Multiobjective Evolutionary Quantile Estimation Model for Wind Power Probabilistic Forecasting	69
A Subspace Sparsity-Driven Knowledge Transfer Strategy for Dynamic Constrained Multiobjective Optimization	68
Enhancing Dynamic Constrained Multiobjective Optimization With Multicenters-Based Prediction	68
A Variable Granularity Search-Based Multiobjective Feature Selection Algorithm for High-Dimensional Data Classification	67
A Distributed Model Predictive Control-Based Method for Multidifferent-Target Search in Unknown Environments	67
A Unified Innovized Progress Operator for Performance Enhancement in Evolutionary Multi- and Many-Objective Optimization	66
Plotting Impossible? Surveying Visualization Methods for Continuous Multi-Objective Benchmark Problems	65
Many-to-Few Decomposition: Linking R2-Based and Decomposition-Based Multiobjective Efficient Global Optimization Algorithms	65
Autoencoding With a Classifier System	64
Decomposition-Based Multiobjective Optimization Algorithms With Adaptively Adjusting Weight Vectors and Neighborhoods	64
MedNAS: Multiscale Training-Free Neural Architecture Search for Medical Image Analysis	64
Adaptive Multifactorial Evolutionary Optimization for Multitask Reinforcement Learning	64
Introducing IEEE Collabratec	63
IEEE Transactions on Evolutionary Computation Publication Information	63
TechRxiv: Share Your Preprint Research with the World!	61
Table of contents	60
A Size-Imbalanced Dual Population with Complementary Search for Sparse Large-Scale Multi-Modal Multi-Objective Optimization	59
Learning-Based Temporal Sequence of Constrained Handling Selection for Constrained Multi-objective Evolutionary Optimization	59