| 2024 | Effective Training of PINNs by Combining CMA-ES with Gradient Descent. | Lin Liu, Yuan Yuan |
| 2024 | Genetic Algorithm-Based Robot Path Planning with the Extraction of Topological Map. | Zhen Liu, Jinglue Xu, Hitoshi Iba |
| 2024 | Empirical Study on Averaging-based Noise-Tolerant Methods for Expensive Combinatorial Optimization. | Shulei Liu, Handing Wang, Wen Yao, Wei Peng, Jingjing Ma |
| 2024 | Infill Criterion Ensemble in Multi-Objective Evolutionary Algorithm for Mixed-Variable Problems. | Yongcun Liu, Handing Wang, Jingjing Ma |
| 2024 | Neural Network-Assisted Particle Swarm Dynamic Optimization. | Zhi Liu, Wei Song, Mingshuo Song |
| 2024 | Finding Sets of Pareto Sets in Real-World Scenarios - A Multitask Multiobjective Perspective. | Jiao Liu, Yew Soon Ong, Melvin Wong |
| 2024 | Large-Scale Project Portfolio Selection and Scheduling Problem: A Comparison of Exact Solvers and Metaheuristics. | Jing Liu, Saber M. Elsayed, Daryl Essam, Ruhul A. Sarker, Ivan L. Garanovich, Terence Weir |
| 2024 | Large Language Models as Evolutionary Optimizers. | Shengcai Liu, Caishun Chen, Xinghua Qu, Ke Tang, Yew-Soon Ong |
| 2024 | Cluster-Centric Local Search Strategies for Enhanced Multi-Objective Logistics Optimization. | Wei Liu, Thomas Bck, Yingjie Fan |
| 2024 | FOG: A Unified Framework for Federated Combinatorial Optimization on Graphs. | Shiqing Liu, Ulrich Rckert, Yaochu Jin |
| 2024 | Improved Discrete Fireworks Algorithm for Large Scale Knapsack Problem. | Yifan Liu, Ying Tan |
| 2024 | A Q-learning Evolutionary Multiobjective Framework for Multiobjective Optimization with Separable and Interacting Variables. | Hui Li, Yanhui Tang, Yuxiang Shui, Jianyong Sun |
| 2024 | A Lightweight Training-Free Method for Neural Architecture Search. | Jhih-Cian Lin, Chun-Wei Tsai |
| 2024 | A Niching-Based Reproduction and Preselection-Based Multiobjective Differential Evolution for Multimodal Multiobjective Optimization. | Hongyu Lin, Jing J. Liang, Caitong Yue, Yaonan Wang |
| 2024 | Reference Vector Guided Variables Selection for Expensive Large-Scale Multiobjective Optimization. | Jianqing Lin, Cheng He, Xueming Liu, Linqiang Pan |
| 2024 | Expensive Optimization Based on Evolutionary Multi-Tasking and Hybrid Restart Strategy. | Zhenyuan Li, Xiaoliang Ma, Zexuan Zhu, Yueyue Li |
| 2024 | SCAPE: Searching Conceptual Architecture Prompts using Evolution. | Soo Ling Lim, Peter J. Bentley, Fuyuki Ishikawa |
| 2024 | Generative Evolution Attacks Portfolio Selection. | Chen Li, Zidong Han, Jinrong Jiang, Lian Zhao, Yidi Bai, Zhonghua Lu, Xuebin Chi |
| 2024 | Deep Learning Based Nonlinear Dimensionality Reduction for Emulators of Numerical Thermosphere Density Models. | Richard J. Licata, Piyush M. Mehta |
| 2024 | A Two-Stage Approach Using Genetic Algorithm and Genetic Programming for Remote Sensing Crop Classification. | Jing Liang, Zexuan Yang, Tuo Zhang, Ying Bi |
| 2024 | Zero-Cost Proxy-Based Hierarchical Initialization for Evolutionary Neural Architecture Search. | Nhat Minh Le, An Vo, Ngoc Hoang Luong |
| 2024 | Solving Simultaneous Continuous Multi-Objective FlipIt Games Using Co-Evolutionary Computation. | Rui Leite, Hernn E. Aguirre, Kiyoshi Tanaka |
| 2024 | Data Sampling via Active Learning in Cartesian Genetic Programming for Biomedical Data. | Yuri Lavinas, Nathan Haut, William Punch, Wolfgang Banzhaf, Sylvain Cussat-Blanc |
| 2024 | Computational Study of Dream Interpretations: Psychoanalytic Human vs Artificial Analyses. | Mayte H. Laureano, Hiram Calvo |
| 2024 | Nonlinear Model-Based Predictive Control of Electric Water Heaters in Individual Dwellings. | Oumaima Laguili, Julien Eynard, Stphane Grieu |