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| Constrained Multi-Objective Optimization With Deep Reinforcement Learning Assisted Operator Selection 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 919-931 作者: Fei Ming; Wenyin Gong; Ling Wang; Yaochu Jin Adobe PDF(2091Kb)  |  收藏  |  浏览/下载:21/6  |  提交时间:2024/03/18 Constrained multi-objective optimization deep Q-learning deep reinforcement learning (DRL) evolutionary algorithms evolutionary operator selection |
| Evolutionary Optimization Methods for High-Dimensional Expensive Problems: A Survey 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1092-1105 作者: MengChu Zhou; Meiji Cui; Dian Xu; Shuwei Zhu; Ziyan Zhao; Abdullah Abusorrah Adobe PDF(2100Kb)  |  收藏  |  浏览/下载:8/3  |  提交时间:2024/04/10 Evolutionary algorithm (EA) high-dimensional expensive problems (HEPs) industrial applications surrogate-assisted optimization |
| Even Search in a Promising Region for Constrained Multi-Objective Optimization 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 474-486 作者: Fei Ming; Wenyin Gong; Yaochu Jin Adobe PDF(1847Kb)  |  收藏  |  浏览/下载:34/16  |  提交时间:2024/01/23 Constrained multi-objective optimization even search evolutionary algorithms promising region real-world problems |
| Multi-Objective Optimization for an Industrial Grinding and Classification Process Based on PBM and RSM 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 11, 页码: 2124-2135 作者: Xiaoli Wang; Luming Liu; Lian Duan; Qian Liao Adobe PDF(5258Kb)  |  收藏  |  浏览/下载:77/31  |  提交时间:2023/09/22 Decision-making technique grinding process multi-objective optimization response surface method (RSM) |
| A Length-Adaptive Non-Dominated Sorting Genetic Algorithm for Bi-Objective High-Dimensional Feature Selection 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 9, 页码: 1834-1844 作者: Yanlu Gong; Junhai Zhou; Quanwang Wu; MengChu Zhou; Junhao Wen Adobe PDF(1308Kb)  |  收藏  |  浏览/下载:74/39  |  提交时间:2023/08/10 Bi-objective optimization feature selection (FS) genetic algorithm high-dimensional data length-adaptive |
| Coevolutionary Framework for Generalized Multimodal Multi-Objective Optimization 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 7, 页码: 1544-1556 作者: Wenhua Li; Xingyi Yao; Kaiwen Li; Rui Wang; Tao Zhang; Ling Wang Adobe PDF(4321Kb)  |  收藏  |  浏览/下载:88/44  |  提交时间:2023/06/14 Coevolution ${\bm{\epsilon}}$-dominance generalized multimodal multi-objective optimization (MMO) local convergence two archives |
| A Fast Clustering Based Evolutionary Algorithm for Super-Large-Scale Sparse Multi-Objective Optimization 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 4, 页码: 1048-1063 作者: Ye Tian; Yuandong Feng; Xingyi Zhang; Changyin Sun Adobe PDF(2003Kb)  |  收藏  |  浏览/下载:264/91  |  提交时间:2023/03/22 Evolutionary computation fast clustering sparse multi-objective optimization super-large-scale optimization |
| Evolutionary Multitasking With Global and Local Auxiliary Tasks for Constrained Multi-Objective Optimization 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 10, 页码: 1951-1964 作者: Kangjia Qiao; Jing Liang; Zhongyao Liu; Kunjie Yu; Caitong Yue; Boyang Qu Adobe PDF(3148Kb)  |  收藏  |  浏览/下载:73/32  |  提交时间:2023/09/07 Constrained multi-objective optimization evolutionary multitasking (EMT) global auxiliary task knowledge transfer local auxiliary task |
| A Line Complex-Based Evolutionary Algorithm for Many-Objective Optimization 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 5, 页码: 1150-1167 作者: Liang Zhang; Qi Kang; Qi Deng; Luyuan Xu; Qidi Wu Adobe PDF(4200Kb)  |  收藏  |  浏览/下载:119/51  |  提交时间:2023/04/26 Environmental selection line complex many-objective optimization problems (MaOPs) Plücker coordinate |
| Survey on AI and Machine Learning Techniques for Microgrid Energy Management Systems 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 7, 页码: 1513-1529 作者: Aditya Joshi; Skieler Capezza; Ahmad Alhaji; Mo-Yuen Chow Adobe PDF(4919Kb)  |  收藏  |  浏览/下载:151/76  |  提交时间:2023/06/14 Consensus energy management system (EMS) reinforcement learning supervised learning |