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| Fixed-Time Gradient Flows for Solving Constrained Optimization: A Unified Approach 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 8, 页码: 1849-1864
作者: Xinli Shi; Xiangping Xu; Guanghui Wen; Jinde Cao
 Adobe PDF(2318Kb) |  收藏 | 浏览/下载：19/7 | 提交时间：2024/07/16
Consensus constrained optimization disturbance rejection linear equations fixed-time gradient flow (FxTGF) |
| Constraints Separation Based Evolutionary Multitasking for Constrained Multi-Objective Optimization Problems 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 8, 页码: 1819-1835
作者: Kangjia Qiao; Jing Liang ; Kunjie Yu; Xuanxuan Ban; Caitong Yue; Boyang Qu; Ponnuthurai Nagaratnam Suganthan
Adobe PDF(2750Kb) | 收藏 | 浏览/下载：19/8 | 提交时间：2024/07/16
Constrained multi-objective optimization (CMOPs) evolutionary multitasking knowledge transfer single constraint |
| Enhancing Evolutionary Algorithms With Pattern Mining for Sparse Large-Scale Multi-Objective Optimization Problems 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 8, 页码: 1786-1801
作者: Sheng Qi; Rui Wang; Tao Zhang; Weixiong Huang; Fan Yu; Ling Wang
Adobe PDF(2019Kb) | 收藏 | 浏览/下载：16/9 | 提交时间：2024/07/16
Evolutionary algorithms pattern mining sparse large-scale multi-objective problems (SLMOPs) sparse large-scale optimization |
| A Survey on Type-3 Fuzzy Logic Systems and Their Control Applications 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 8, 页码: 1744-1756
作者: Oscar Castillo; Fevrier Valdez; Patricia Melin; Weiping Ding
Adobe PDF(5742Kb) | 收藏 | 浏览/下载：10/4 | 提交时间：2024/07/16
Applications control systems optimization review type-3 fuzzy logic |
| Self-Triggered Set Stabilization of Boolean Control Networks and Its Applications 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 7, 页码: 1631-1642
作者: Rong Zhao; Jun-e Feng; Dawei Zhang
Adobe PDF(1665Kb) | 收藏 | 浏览/下载：46/19 | 提交时间：2024/06/07
Boolean control networks (BCNs) output regulation self-triggered control semi-tensor product of matrices set stabilization synchronization |
| Multiobjective Differential Evolution for Higher-Dimensional Multimodal Multiobjective Optimization 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1458-1475
作者: Jing Liang; Hongyu Lin; Caitong Yue; Ponnuthurai Nagaratnam Suganthan; Yaonan Wang
Adobe PDF(2268Kb) | 收藏 | 浏览/下载：56/21 | 提交时间：2024/05/22
Benchmark functions diversity measure evolutionary algorithms multimodal multiobjective optimization |
| A Two-layer Encoding Learning Swarm Optimizer based on Frequent Itemsets for Sparse Large-scale Multi-objective Optimization 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1342-1357
作者: Sheng Qi; Rui Wang; Tao Zhang; Xu Yang; Ruiqing Sun; Ling Wang
 Adobe PDF(3038Kb) | 收藏 | 浏览/下载：63/20 | 提交时间：2024/05/22
Evolutionary algorithms learning swarm optimization sparse large-scale optimization sparse large-scale multi-objective problems two-layer encoding |
| Prescribed Performance Evolution Control for Quadrotor Autonomous Shipboard Landing 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1151-1162
作者: Yang Yuan; Haibin Duan; Zhigang Zeng
Adobe PDF(5858Kb) | 收藏 | 浏览/下载：59/19 | 提交时间：2024/04/10
Adaptive sliding mode observer (ASMO) dynamic surface control prescribed performance evolution control (PPEC) quadrotor shipboard landing |
| 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：57/12 | 提交时间：2024/04/10
Evolutionary algorithm (EA) high-dimensional expensive problems (HEPs) industrial applications surrogate-assisted optimization |
| 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：82/35 | 提交时间：2024/03/18
Constrained multi-objective optimization deep Q-learning deep reinforcement learning (DRL) evolutionary algorithms evolutionary operator selection |
