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| 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 |
| Computational Experiments for Complex Social Systems: Experiment Design and Generative Explanation 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 1022-1038
作者: Xiao Xue; Deyu Zhou; Xiangning Yu; Gang Wang; Juanjuan Li ; Xia Xie; Lizhen Cui; Fei-Yue Wang
Adobe PDF(7239Kb) | 收藏 | 浏览/下载：28/7 | 提交时间：2024/03/18
Agent-based modeling computational experiments cyber-physical-social systems (CPSS) generative deduction generative experiments meta model |
| Multi-UAVs Collaborative Path Planning in the Cramped Environment 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 529-538
作者: Siyuan Feng; Linzhi Zeng; Jining Liu; Yi Yang; Wenjie Song
Adobe PDF(37781Kb) | 收藏 | 浏览/下载：62/17 | 提交时间：2024/01/23
Collision avoidance conflict resolution multi-unmanned aerial vehicles (UAVs) system path planning |
| A Self-Adapting and Efficient Dandelion Algorithm and Its Application to Feature Selection for Credit Card Fraud Detection 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 377-390
作者: Honghao Zhu; MengChu Zhou; Yu Xie; Aiiad Albeshri
Adobe PDF(2674Kb) | 收藏 | 浏览/下载：38/16 | 提交时间：2024/01/23
Credit card fraud detection (CCFD) dandelion algorithm (DA) feature selection normal sowing operator |
| Virtual Power Plants for Grid Resilience: A Concise Overview of Research and Applications 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 329-343
作者: Yijing Xie; Yichen Zhang; Wei-Jen Lee; Zongli Lin; Yacov A. Shamash
Adobe PDF(798Kb) | 收藏 | 浏览/下载：52/20 | 提交时间：2024/01/23
Climate change renewable energy resources resilience smart grids virtual power plants (VPPs) |
| Advancements in Humanoid Robots: A Comprehensive Review and Future Prospects 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 301-328
作者: Yuchuang Tong; Haotian Liu; Zhengtao Zhang
Adobe PDF(7587Kb) | 收藏 | 浏览/下载：75/14 | 提交时间：2024/01/23
Future trends and challenges humanoid robots human-robot interaction key technologies potential applications |
| Reinforcement Learning in Process Industries: Review and Perspective 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 283-300
作者: Oguzhan Dogru; Junyao Xie; Om Prakash; Ranjith Chiplunkar; Jansen Soesanto; Hongtian Chen; Kirubakaran Velswamy; Fadi Ibrahim; Biao Huang
Adobe PDF(1275Kb) | 收藏 | 浏览/下载：37/13 | 提交时间：2024/01/23
Process control process systems engineering reinforcement learning |
| Path Planning and Tracking Control for Parking via Soft Actor-Critic Under Non-Ideal Scenarios 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 181-195
作者: Xiaolin Tang; Yuyou Yang; Teng Liu; Xianke Lin; Kai Yang; Shen Li
Adobe PDF(4905Kb) | 收藏 | 浏览/下载：185/119 | 提交时间：2024/01/02
Automatic parking control strategy parking deviation (APS) soft actor-critic (SAC) |
| Learning to Branch in Combinatorial Optimization With Graph Pointer Networks 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 157-169
作者: Rui Wang; Zhiming Zhou; Kaiwen Li; Tao Zhang; Ling Wang; Xin Xu; Xiangke Liao
Adobe PDF(1841Kb) | 收藏 | 浏览/下载：230/153 | 提交时间：2024/01/02
Branch-and-bound (B&B) combinatorial optimization deep learning graph neural network imitation learning |
| Recent Progress in Reinforcement Learning and Adaptive Dynamic Programming for Advanced Control Applications 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 18-36
作者: Ding Wang; Ning Gao; Derong Liu; Jinna Li; Frank L. Lewis
Adobe PDF(1945Kb) | 收藏 | 浏览/下载：245/180 | 提交时间：2024/01/02
Adaptive dynamic programming (ADP) advanced control complex environment data-driven control event-triggered design intelligent control neural networks nonlinear systems optimal control reinforcement learning (RL) |
