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CASIA OpenIR

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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：11/3  |  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  
A Dynamic Resource Allocation Strategy with Reinforcement Learning for Multimodal Multi-objective Optimization 期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 2, 页码: 138-152
作者:  Qian-Long Dang;  Wei Xu;  Yang-Fei Yuan
Adobe PDF(2376Kb)  |  收藏  |  浏览/下载：12/2  |  提交时间：2024/04/23
Multimodal multi-objective optimization (MMO)  dynamic resource allocating strategy (DRAS)  reinforcement learning (RL)  decision space partition  zoning search  
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  
Dynamic adaptive multi-objective optimization algorithm based on type detection 期刊论文
INFORMATION SCIENCES, 2024, 卷号: 654, 页码: 16
作者:  Cai, Xingjuan;  Wu, Linjie;  Zhao, Tianhao;  Wu, Di;  Zhang, Wensheng;  Chen, Jinjun
收藏  |  浏览/下载：56/0  |  提交时间：2024/02/22
Adaptive response strategy  Type detection  Dynamic multi-objective optimization  Transfer learning  
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：51/23  |  提交时间：2024/01/23
Constrained multi-objective optimization  even search  evolutionary algorithms  promising region  real-world problems  
Hierarchical Multi-Objective Optimization for Dedicated Bus Punctuality and Supply-Demand Balance Control 期刊论文
SENSORS, 2023, 卷号: 23, 期号: 9, 页码: 18
作者:  Shang, Chunlin;  Zhu, Fenghua;  Xu, Yancai;  Liu, Xiaoming;  Jiang, Tianhua
收藏  |  浏览/下载：36/0  |  提交时间：2023/11/17
intelligent transportation system  hierarchical multi-objective optimization  driving speed decision-making  dedicated bus  Lagrangian multiplier method  
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：85/34  |  提交时间：2023/09/22
Decision-making technique  grinding process  multi-objective optimization  response surface method (RSM)  
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：85/37  |  提交时间：2023/09/07
Constrained multi-objective optimization  evolutionary multitasking (EMT)  global auxiliary task  knowledge transfer  local auxiliary task  
Multi-Objective Neural Architecture Search for Light-Weight Model 会议论文
, Hangzhou, China, 22-24 November 2019
作者:  Nannan Li;  Yaran Chen;  Zixiang Ding;  Dongbin Zhao;  Zhonghua Pang;  Ruisheng Qin
Adobe PDF(430Kb)  |  收藏  |  浏览/下载：132/44  |  提交时间：2023/06/27
Neural architecture search  light-weight  multi-objective  reinforcement learning  image classification  
Efficient Accelerator/Network Co-Search with Circular Greedy Reinforcement Learning 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II: EXPRESS BRIEFS, 2023, 页码: 1-5
作者:  Liu, Zejian;  Li, Gang;  Cheng, Jian
Adobe PDF(1982Kb)  |  收藏  |  浏览/下载：108/34  |  提交时间：2023/06/19
Accelerator/Network Co-Search  Reinforcement Learning  Performance Estimation  Multi-objective Optimization