| 2024 | Towards Multi-Morphology Controllers with Diversity and Knowledge Distillation. | Alican Mertan, Nick Cheney |
| 2024 | Machine Learning for Evolutionary Computation - the Vehicle Routing Problems Competition. | Weiyao Meng, Rong Qu, Nelishia Pillay |
| 2024 | Accelerating GP Genome Evaluation Through Real Compilation with a Multiple Program Single Data Approach. | Vincius Veloso de Melo, Wolfgang Banzhaf, Giovanni Iacca |
| 2024 | Evolutionary Computation meets Machine Learning for Combinatorial Optimisation. | Yi Mei, Gnther R. Raidl |
| 2024 | Interactive Evolutionary Multiobjective Optimization of Primer Design with Uncertain Objectives. | Atanu Mazumdar, Bhavya Jain, Monisha Mitra, Prodyut Dhar |
| 2024 | Hot Off the Press: Soft computing methods in the solution of an inverse heat transfer problem with phase change. | Toms Mauder, Jakub Kudela, Lubomr Klimes, Martin Zlesk, Pavel Charvt |
| 2024 | Learning Descriptors for Novelty-Search Based Instance Generation via Meta-evolution. | Alejandro Marrero, Eduardo Segredo, Coromoto Len, Emma Hart |
| 2024 | Evolving Assembly Code in an Adversarial Environment. | Irina Maliukov, Gera Weiss, Oded Margalit, Achiya Elyasaf |
| 2024 | Expensive Constrained Multi-objective Evolutionary Algorithm with Pareto Set Learning. | Ruitao Mai, Yifeng Qiu, Wenji Li, Zhaojun Wang, Biao Xu, Wei Chen, Jiafan Zhuang, Yun Li, Zhun Fan |
| 2024 | Evolutionary Art and Design in the Machine Learning Era. | Penousal Machado, Joo Correia |
| 2024 | Auto-configuring Exploration-Exploitation Tradeoff in Evolutionary Computation via Deep Reinforcement Learning. | Zeyuan Ma, Jiacheng Chen, Hongshu Guo, Yining Ma, Yue-Jiao Gong |
| 2024 | Fast Self-Learning of Turbulence Feedback Laws Using Gradient-Enriched Machine Learning Control. | Guy Y. Cornejo Maceda, Zhutao Jiang, Franois Lusseyran, Bernd R. Noack |
| 2024 | Search-Based Repair of DNN Controllers of AI-Enabled Cyber-Physical Systems Guided by System-Level Specifications. | Deyun Lyu, Zhenya Zhang, Paolo Arcaini, Fuyuki Ishikawa, Thomas Laurent, Jianjun Zhao |
| 2024 | Runtime Analysis of Population-based Evolutionary Neural Architecture Search for a Binary Classification Problem. | Zeqiong Lv, Chao Bian, Chao Qian, Yanan Sun |
| 2024 | A Micro Dynamic Multi-objective Evolutionary Algorithm for Small-scale Smart Greenhouse with Low-power Microprocessor. | Zhongtian Luo, Jianpeng Xiong, Hu Peng, Gaosheng Zhan, Qingfu Zhang, Hui Wang, Xinyu Zhou, Wei Li, Ying Huang |
| 2024 | A Cooperative Coevolution Neural Architecture Search Approach for Evolving Convolutional Neural Networks. | Trevor Londt, Xiaoying Gao, Yi Mei |
| 2024 | Evolutionary Algorithm Based Adaptive Image Anonymization. | Arcadi Llanza, Nadiya Shvai, Amir Nakib |
| 2024 | Local Search-based Approach for Cost-effective Job Assignment on Large Language Models. | Yueyue Liu, Hongyu Zhang, Van-Hoang Le, Yuantian Miao, Zhiqiang Li |
| 2024 | Visualization of Multiobjective Multimodal Benchmarking Based on Basin Connectivity. | Likun Liu, Ryosuke Ota, Takahiro Yamamoto, Naoki Hamada, Daisuke Sakurai |
| 2024 | Deep Symbolic Optimization for Combinatorial Optimization: Accelerating Node Selection by Discovering Potential Heuristics. | Hongyu Liu, Haoyang Liu, Yufei Kuang, Jie Wang, Bin Li |
| 2024 | A Phenotypic Learning Classifier System for Problems with Continuous Features. | Yi Liu, Yu Cui, Wen Cheng, Will Neil Browne, Bing Xue, Chengyuan Zhu, Yiding Zhang, Mingkai Sheng, Lingfang Zeng |
| 2024 | Explaining Session-based Recommendations using Grammatical Evolution. | Piotr Lipinski, Klaudia Balcer |
| 2024 | Symmetry Parallel Search Strategy For Permutation-related Optimization Problems. | Tianyang Li, Ying Meng, Lixin Tang |
| 2024 | Algorithm Performance Comparison for Integer-Valued OneMax. | Xiaoyue Li, Timo Ktzing |
| 2024 | Empirical Comparison between MOEAs and Local Search on Multi-Objective Combinatorial Optimisation Problems. | Miqing Li, Xiaofeng Han, Xiaochen Chu, Zimin Liang |