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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  
一种基于目标空间转换权重求和的超多目标进化算法 期刊论文
自动化学报, 2022, 卷号: 48, 期号: 4, 页码: 1060-1078
作者:  梁正平;  骆婷婷;  王志强;  朱泽轩;  胡凯峰
Adobe PDF(7389Kb)  |  收藏  |  浏览/下载：1/0  |  提交时间：2024/05/20
目标空间转换  权重求和  超多目标优化  进化算法  
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：49/22  |  提交时间：2024/01/23
Constrained multi-objective optimization  even search  evolutionary algorithms  promising region  real-world problems  
An Information-Based Elite-Guided Evolutionary Algorithm for Multi-Objective Feature Selection 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 264-266
作者:  Ziqian Wang;  Shangce Gao;  Zhenyu Lei;  Masaaki Omura
Adobe PDF(363Kb)  |  收藏  |  浏览/下载：107/48  |  提交时间：2024/01/02
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  
A Line Complex-Based Evolutionary Algorithm for Many-Objective Optimization 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 5, 页码: 1150-1167
作者:  Liang Zhang;  Qi Kang;  Qi Deng;  Luyuan Xu;  Qidi Wu
Adobe PDF(4200Kb)  |  收藏  |  浏览/下载：136/61  |  提交时间：2023/04/26
Environmental selection  line complex  many-objective optimization problems (MaOPs)  Plücker coordinate  
A Fast Clustering Based Evolutionary Algorithm for Super-Large-Scale Sparse Multi-Objective Optimization 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 4, 页码: 1048-1063
作者:  Ye Tian;  Yuandong Feng;  Xingyi Zhang;  Changyin Sun
Adobe PDF(2003Kb)  |  收藏  |  浏览/下载：297/97  |  提交时间：2023/03/22
Evolutionary computation  fast clustering  sparse multi-objective optimization  super-large-scale optimization  
The Development of AgriVerse: Past, Present, and Future 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2023, 页码: 10
作者:  Kang, Mengzhen;  Wang, Xiujuan;  Wang, Haoyu;  Hua, Jing;  de Reffye, Philippe;  Wang, Fei-Yue
Adobe PDF(4290Kb)  |  收藏  |  浏览/下载：284/75  |  提交时间：2023/02/22
Computational modeling  Biological systems  Biomass  Biological system modeling  Production  Plants (biology)  Metaverse  Agricultural metaverse (AgriVerse)  agriculture cyber-physical-social system (CPSS)  artificial systems  computational experiments  and parallel execution (ACP)  decentralized science (DeSci)  knowledge-and-data driven modeling  parallel agriculture  plant model  
Tourism Route Recommendation Based on A Multi-Objective Evolutionary Algorithm Using Two-Stage Decomposition and Pareto Layering 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 2, 页码: 486-500
作者:  Xiaoyao Zheng;  Baoting Han;  Zhen Ni
Adobe PDF(5493Kb)  |  收藏  |  浏览/下载：203/63  |  提交时间：2023/01/16
Evolutionary algorithm  multi-objective optimization  Pareto optimization  tourism route recommendation  two-stage decomposition  
A Bi-population Cooperative Optimization Algorithm Assisted by an Autoencoder for Medium-scale Expensive Problems 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 11, 页码: 1952-1966
作者:  Meiji Cui;  Li Li;  MengChu Zhou;  Jiankai Li;  Abdullah Abusorrah;  Khaled Sedraoui
Adobe PDF(4431Kb)  |  收藏  |  浏览/下载：204/41  |  提交时间：2022/10/09
Autoencoder  dimension reduction  evolutionary algorithm  medium-scale expensive problems  teaching-learning-based optimization