已选(0)清除
条数/页: 排序方式: |
| Prescribed Performance Tracking Control of Time-Delay Nonlinear Systems With Output Constraints 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 7, 页码: 1557-1565 作者: Jin-Xi Zhang; Kai-Di Xu; Qing-Guo Wang Adobe PDF(2229Kb)  |  收藏  |  浏览/下载:23/10  |  提交时间:2024/06/07 Nonlinear systems output constraints prescribed performance reference tracking time delays |
| 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:30/12  |  提交时间:2024/05/22 Benchmark functions diversity measure evolutionary algorithms multimodal multiobjective optimization |
| Attention Markets of Blockchain-based Decentralized Autonomous Organizations 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1370-1380 作者: Juanjuan Li; Rui Qin; Sangtian Guan; Wenwen Ding; Fei Lin; Fei-Yue Wang Adobe PDF(1878Kb)  |  收藏  |  浏览/下载:33/16  |  提交时间:2024/05/22 Attention decentralized autonomous organizations Harberger tax Stackelberg game |
| 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:34/11  |  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 |
| The Journey/DAO/TAO of Embodied Intelligence: From Large Models to Foundation Intelligence and Parallel Intelligence 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1313-1316 作者: Tianyu Shen; Jinlin Sun; Shihan Kong; Yutong Wang; Juanjuan Li; Xuan Li; Fei-Yue Wang Adobe PDF(682Kb)  |  收藏  |  浏览/下载:36/13  |  提交时间:2024/05/22 |
| Computational Experiments for Complex Social Systems: Integrated Design of Experiment System 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1175-1189 作者: Xiao Xue; Xiangning Yu; Deyu Zhou; Xiao Wang; Chongke Bi; Shufang Wang; Fei-Yue Wang Adobe PDF(11890Kb)  |  收藏  |  浏览/下载:46/6  |  提交时间:2024/04/10 Artificial society computational experiments model integration operation engine technology integration |
| 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:38/7  |  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:58/13  |  提交时间:2024/03/18 Agent-based modeling computational experiments cyber-physical-social systems (CPSS) generative deduction generative experiments meta model |
| A Weakly-Supervised Crowd Density Estimation Method Based on Two-Stage Linear Feature Calibration 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 965-981 作者: Yong-Chao Li; Rui-Sheng Jia; Ying-Xiang Hu; Hong-Mei Sun Adobe PDF(10448Kb)  |  收藏  |  浏览/下载:60/27  |  提交时间:2024/03/18 Crowd density estimation linear feature calibration vision transformer weakly-supervision learning |
| 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:64/28  |  提交时间:2024/03/18 Constrained multi-objective optimization deep Q-learning deep reinforcement learning (DRL) evolutionary algorithms evolutionary operator selection |