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| 2025 | A Two-Stage Explanation-Based Method Using Particle Swarm Optimization for Black-Box Adversarial Attack. | Chaoxin Zhang, Gonglin Yuan, Hongwei Ge, Yaqing Hou |
| 2025 | LAOS: Large Language Model-Driven Adaptive Operator Selection for Evolutionary Algorithms. | Yisong Zhang, Guoxing Yi |
| 2025 | EM-NAS: A Cell-Based Evolutionary Multi-scale Neural Architecture Search for Medical Image Segmentation. | Hanyu Zhang, Lixin Tang, Xiangman Song |
| 2025 | Smart Starts: Accelerating Convergence Through Uncommon Region Exploration. | Xinyu Zhang, Mrio Antunes, Tyler Estro, Erez Zadok, Klaus Mueller |
| 2025 | Design, Containerization and Performance of Distributed Evolutionary Computation. | Jan Zenisek, Florian Bachinger, Christian Haider, Florian Holzinger, Philipp Neuhauser, Erik Pitzer, Stefan Wagner, Michael Affenzeller |
| 2025 | Adaptive Reference Vectors Cooperate with Generalized Pareto Dominance for Irregular Many-objective Problems. | Liusheng Zeng, Yuchen Li, Jingxue Hu, Shuwei Zhu, Meiji Cui |
| 2025 | Program Synthesis with LLM-Predicted Minimal Specialized Grammars. | David Vella Zarb, Geoffrey T. Parks, Timoleon Kipouros |
| 2025 | LLM-Guided Evolution: An Autonomous Model Optimization for Object Detection. | YiMing Yu, Jason Zutty |
| 2025 | A Comparison and Analysis of LLM Agents within the Context of An LLM-Guided Evolution for Object Detection. | YiMing Yu, Jason Zutty |
| 2025 | Optimizing Photonic Structures with Large Language Model Driven Algorithm Discovery. | Haoran Yin, Anna V. Kononova, Thomas Bck, Niki van Stein |
| 2025 | MILPBench: A Large-scale Benchmark Test Suite for Mixed Integer Linear Programming Problems. | Huigen Ye, Yaoyang Cheng, Hua Xu, Zhiguang Cao, Hanzhang Qin |
| 2025 | SEvoBench: A C++ Framework for Evolutionary Single-Objective Optimization Benchmarking. | Yongkang Yang, Jian Zhao, Tengfei Yang |
| 2025 | Machine Learning-Assisted Constraint Handling Under Variable Uncertainty for Preference-based Multi-Objective Optimization. | Deepanshu Yadav, Palaniappan Ramu, Kalyanmoy Deb |
| 2025 | Transformer-Guided Genetic Programming for Symbolic Regression. | Chao Xu, Junlan Dong, Yanqiao Lv, Jinghui Zhong |
| 2025 | Modeling and Solution to Hot Rolling Production Rescheduling Problem. | Ge-Jian Xu, Yang Yang, Guo-Dong Zhao, Hua Zou |
| 2025 | Quality Diversity Genetic Programming for Learning Scheduling Heuristics. | Meng Xu, Frank Neumann, Aneta Neumann, Yew Soon Ong |
| 2025 | Ant Colony Optimization for Tourist Route Planning. | Li-Ting Xu, Qiang Yang, Dan-Ting Duan, Xin Lin, Chengzhi Qu, Zhen-Yu Lu, Jun Zhang |
| 2025 | Accelerating Soft Robot Evolution Using N-gram-based Controller Inheritance and Genetic Co-Design. | Yue Xie, Xueming Yan, Fumiya Iida |
| 2025 | Learning Semantics-aware Search Operators for Genetic Programming. | Piotr Wyrwinski, Krzysztof Krawiec |
| 2025 | A New Framework for Visualising Diversity Properties of Pareto Front Approximations in Many-objective Optimisation. | Kai Eivind Wu, George Panoutsos |
| 2025 | Noise Resilient Quantum Circuit Design by Multi-Objective Genetic Algorithm. | Christian Wood, Alberto Moraglio |
| 2025 | Cluster Prevention in Evolutionary Diversity Optimization for Parallel Machine Scheduling. | Dominic Wittner, Jakob Bossek |
| 2025 | Machine Learning and Genetic Algorithms: An Intricate Relationship for Locating Methane in Satellite Images. | Agata M. Wijata, Nicolas Longp, Michal Witold Przewozniczek, Jakub Nalepa |
| 2025 | Genetic Feature Selection for Multimodal Wound Detection. | Agata M. Wijata, Maria J. Bienkowska, Michal Witold Przewozniczek, Jakub Nalepa |