| 2026 | Comparing crossover operators for priority-value based encoding in multi-modal transit routing: A study on weight mapping strategies. | Tingting Yang, Jun Chen |
| 2026 | pMachine-DM: A Stochastic Machine Learning-Based Decision-Maker for Interactive Multi-Criterion Decision-Making. | Deepanshu Yadav, Kalyanmoy Deb |
| 2026 | Benchmarking Interactive Multi-Criterion Decision-Making Procedures Following Machine Learning-Based Decision-Maker: Benchmarking Interactive MCDM Procedures. | Deepanshu Yadav, Kalyanmoy Deb |
| 2026 | Pareto Optimization with Robust Evaluation for Noisy Subset Selection. | Yiheng Xu, Danxuan Liu, Bin Zhang, Weiyong Yang, Chao Qian |
| 2026 | A Granular Ball-Ant Colony Optimization Framework Enhanced by Variable Neighborhood Search for the Multi-Depot Half-Open Time-Dependent EVRP. | Yingkai Xu, Anik Kopacz, Camelia Chira |
| 2026 | Manifold-Guided Feature Construction Using Multi-Objective Genetic Programming for Music Tagging. | Chenhao Xue, Tingting Yang |
| 2026 | RE-MMNAS: LLM Reasoning-Guided Evolutionary Architecture Search for Multi-Modal Feature Fusion. | Haowen Xiao, Xueming Yan, Yue Xie, Han Huang |
| 2026 | GeM-EA: A Generative and Meta-learning Enhanced Evolutionary Algorithm for Streaming Data-Driven Optimization. | Yue Wu, Yuanting Zhong, Zeyuan Ma, Yue-Jiao Gong |
| 2026 | MEFL: A Two-Stage Evolutionary Feature Learning Approach to Skin Cancer Diagnosis from Multimodal Data. | Zhicheng Wu, Bing Xue, Mengjie Zhang |
| 2026 | CURE: Adaptive Multi-Channel Fusion via Genetic Optimization for Chronic Wound Image Analysis. | Agata Wijata, Maria J. Bienkowska |
| 2026 | Evolutionary Tunneling and Periodicity Across the Big Valley Distribution. | Darrell Whitley, Gabriela Ochoa, Francisco Chicano |
| 2026 | Efficient deterministic crossover, and the periodicity of local optima under recombination. | Darrell Whitley |
| 2026 | Solving the SpOC 4 Challenge 2 with a Multi-Step Permutation Encoding for the Keplerian Traveling Salesperson. | Thomas Weise, Sina Abdipoor, Mingxuan Li, Zhize Wu |
| 2026 | Geometric Probing for Algorithm Selection in Continuous Black-Box Optimisation. | Jiabao Wang, Xiang Shi, Yiliang Yuan, Mustafa Misir |
| 2026 | A* Assisted Local Search for Mobile Robot Path Planning. | Yao Wang, Gong-Wei Song, Qiang Yang, Dan-Ting Duan, Pei-Lan Xu, Xin Lin, Zhen-Yu Lu, Jun Zhang |
| 2026 | Analyzing search behavior of population-based optimization algorithms using graph neural networks. | Bartlomiej Walczak, Hubert Guzowski, Wojciech Achtelik, Maciej Smolka, Jacek Mandziuk |
| 2026 | Beyond the Training Distribution: Mapping Generalization Boundaries in Neural Program Synthesis. | Henrik Voigt, Michael Habeck, Joachim Giesen |
| 2026 | Exploration of Pareto-preserving Search Space Transformations in Multi-objective Test Functions. | Diederick Vermetten, Jeroen Rook |
| 2026 | When Does Integrated Neuro-Symbolic Learning Help Clinical Tabular Diagnosis?: An Evolutionary and Explainable AI Perspective. | Pooja Verma, Sourab Shastri, Rohit Salgotra |
| 2026 | Investigating Memetic Scheduling Strategies for Distributed Neuroevolution. | Diana Velychko, Travis Desell |
| 2026 | Grammar-Based Subexpression Reuse in Grammatical Evolution. | Jos Manuel Velasco, Daniel Parra, Oscar Garnica, J. Ignacio Hidalgo |
| 2026 | Fitness Landscape Analysis of Grammatical Evolution Models for Glucose Prediction. | Jos Manuel Velasco, Daniel Parra, Oscar Garnica, J. Ignacio Hidalgo |
| 2026 | Wave-GA: Cyclical Evolutionary Optimization for Streaming Classification with Emerging Labels. | Giannis Vassiliou, Georgia Eirini Trouli, Sotirios Batsakis, Haridimos Kondylakis |
| 2026 | Introduction to Automated Machine Learning for Data Science, Modeling, and Benchmarking. | Ryan J. Urbanowicz |
| 2026 | Value Consistency Prioritization for Accelerating Knowledge Discovery in Sparse Reward Anticipatory Classifier Systems. | Olgierd Unold, Jan Zemlo |