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Adaptive Space Expansion for Fast Motion Planning 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1499-1514
作者:  Shenglei Shi;  Jiankui Chen
Adobe PDF(4194Kb)  |  收藏  |  浏览/下载：12/5  |  提交时间：2024/05/22
Adaptive space expansion (ASE)  hyper-ellipsoid ring  informed sampling  motion planning  
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：2/1  |  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：9/2  |  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  
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：19/3  |  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：36/15  |  提交时间：2024/03/18
Constrained multi-objective optimization  deep Q-learning  deep reinforcement learning (DRL)  evolutionary algorithms  evolutionary operator selection  
A Dual Closed-Loop Digital Twin Construction Method for Optimizing the Copper Disc Casting Process 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 3, 页码: 581-594
作者:  Zhaohui Jiang;  Chuan Xu;  Jinshi Liu;  Weichao Luo;  Zhiwen Chen;  Weihua Gui
Adobe PDF(16387Kb)  |  收藏  |  浏览/下载：42/10  |  提交时间：2024/02/19
Copper disc casting machine  digital twin (DT)  mechanism modeling  self-optimization  
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：50/16  |  提交时间：2024/01/23
Credit card fraud detection (CCFD)  dandelion algorithm (DA)  feature selection  normal sowing operator  
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：44/15  |  提交时间：2024/01/23
Process control  process systems engineering  reinforcement learning  
Autonomous Vehicle Platoons In Urban Road Networks: A Joint Distributed Reinforcement Learning and Model Predictive Control Approach 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 141-156
作者:  Luigi D’Alfonso;  Francesco Giannini;  Giuseppe Franzè;  Giuseppe Fedele;  Francesco Pupo;  Giancarlo Fortino
Adobe PDF(7491Kb)  |  收藏  |  浏览/下载：209/129  |  提交时间：2024/01/02
Distributed model predictive control  distributed reinforcement learning  routing decisions  urban road networks  
Knowledge Transfer Learning via Dual Density Sampling for Resource-Limited Domain Adaptation 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 12, 页码: 2269-2291
作者:  Zefeng Zheng;  Luyao Teng;  Wei Zhang;  Naiqi Wu;  Shaohua Teng
Adobe PDF(15412Kb)  |  收藏  |  浏览/下载：116/25  |  提交时间：2023/10/31
Cross-domain risk  dual density sampling  intra-domain risk  maximum mean discrepancy  knowledge transfer learning  resource-limited domain adaptation