| 2024 | Evolution-Assisted Deep Reinforcement Learning for Fast Charging Station Coordinated Operation. | Xiaoying Yang, Yujing Gu, Fuhua Jia, Yiran Li, Hongru Wang, Nanjiang Du, Tianxiang Cui, Yujian Ye, Ruibin Bai |
| 2024 | Improving Generalization in Game Agents with Data Augmentation in Imitation Learning. | Derek Yadgaroff, Alessandro Sestini, Konrad Tollmar, Aya zelikkale, Linus Gissln |
| 2024 | Multiobjective Sequential Transfer Optimization: Benchmark Problems and Preliminary Results. | Xiaoming Xue, Liang Feng, Cuie Yang, Songbai Liu, Linqi Song, Kay Chen Tan |
| 2024 | A New Concordance Correlation Coefficient based Fitness Function for Genetic Programming for Symbolic Regression. | Jizhong Xu, Qi Chen, Bing Xue, Mengjie Zhang |
| 2024 | Dynamic Multi-Objective Optimization Time Series Ensemble Prediction Framework Based on Correlation Type Detection. | Lele Xie, Xiaoming Zhang, Ran Hu, Shun Zhang |
| 2024 | Reliability-Aware Network Slicing based on Multi-Objective Optimization. | Qiqi Xia, Jin Wang, Chengqiang Huang, Xin Yao |
| 2024 | Dynamic Multi-Task Interactive Evolutionary Optimization Algorithm with Search Space Alignment. | Weidong Wu, Xiaoyan Sun, Yong Zhang, Wei Song |
| 2024 | A Time Window Sequence-Based Evolutionary Algorithm for Solving Large-Scale Daily Task Planning Problems. | Peng Wu, Shuai Shao |
| 2024 | A Surrogate-Assisted Evolutionary Algorithm for Expensive Dynamic Multimodal Optimzation. | Xunfeng Wu, Songbai Liu, Junkai Ji, Lijia Ma, Victor C. M. Leung |
| 2024 | Multiobjective Bayesian Optimization for Antenna Placement in In-Building Distributed Antenna System. | Xilei Wu, Pei-Qiu Huang, Linqi Song, Hai-Lin Liu, Qingfu Zhang |
| 2024 | A Surrogate-Assisted Coevolutionary Algorithm for Expensive Constrained Multiobjective Optimization. | Haofeng Wu, Qingda Chen, Cuie Yang, Jinliang Ding, Yaochu Jin |
| 2024 | Prompt Evolutionary Design Optimization with Generative Shape and Vision-Language models. | Melvin Wong, Thiago Rios, Stefan Menzel, Yew Soon Ong |
| 2024 | A Meta-Learning - Based Surrogate-Assisted Evolutionary Algorithm for Expensive Multi-Objective Optimization Problems. | Liqun Wen, Hongfeng Wang |
| 2024 | A Hypervolume Contribution Approximation Method Based on Angular Points. | Chengxin Wen, Lihua Li, Hongbin Ma |
| 2024 | A Novel Subspace Construction Method for Large-Scale Evolutionary Multi-Objective Optimization. | Wenping Wang, Yang Zhang, Shuwei Zhu, Meiji Cui |
| 2024 | Multi-Stage Transfer Learning Evolutionary Algorithm for Dynamic Multiobjective Optimization. | Qianhui Wang, Qingling Zhu, Junkai Ji |
| 2024 | A Multi-Modal Multi-Objective Evolutionary Algorithm Considering Boundary Information. | Hongze Wang, Jinxin Zhang |
| 2024 | Dimensionality Reduction for Classification Using Divide-and-Conquer Based Genetic Programming. | Peng Wang, Bing Xue, Jing Liang, Mengjie Zhang |
| 2024 | Multi-Objective Optimization for Joint Communication and Computing Resource Allocation in NOMA-Based MEC System. | Hongzhe Wang, Lixin Tang, Min Xiao, Qingxin Guo |
| 2024 | Surrogate Assisted Large-Scale Expensive Optimization With Difference-Based Infill Criterion. | Lu Wang, Chaoli Sun, Guochen Zhang, Kaili Zhao, Hui Shi, Zongchao Xie |
| 2024 | On the Effects of Smoothing Rugged Landscape by Different Toy Problems: A Case Study on UBQP. | Wei Wang, Jialong Shi, Jianyong Sun, Arnaud Liefooghe, Qingfu Zhang, Ye Fan |
| 2024 | Improving the Performance of Bilevel Evolutionary Algorithms using Variable Associations. | Bing Wang, Hemant Kumar Singh, Tapabrata Ray |
| 2024 | Evolutionary Multitasking Collaborative Neural Architecture Search for Scene Classification. | Shanfeng Wang, Zaitian Liu, Jianzhao Li, Maoguo Gong, Rui Yang |
| 2024 | A Two-Stage Optimization Framework for Sparse Large-Scale Multiobjective Optimization. | Huoyuan Wang, Jing Jiang |
| 2024 | Well Trajectory Design Based on Constrained Many-Objective Optimization Algorithms. | Zhaojun Wang, Chenwen Ding, Wenji Li, Yifeng Qiu, Jiafan Zhuang, Dong Chen, Biao Xu, Yun Li, Zhun Fan |