Enhancing Evolutionary Algorithms With Pattern Mining for Sparse Large-Scale Multi-Objective Optimization ProblemsOACSTPCDEI
Enhancing Evolutionary Algorithms With Pattern Mining for Sparse Large-Scale Multi-Objective Optimization Problems
Sheng Qi;Rui Wang;Tao Zhang;Weixiong Huang;Fan Yu;Ling Wang
College of Systems Engineering,National University of Defense Technology,Changsha 410073,ChinaCollege of Systems Engineering,National University of Defense Technology,Changsha 410073||Xiangjiang Laboratory,Changsha 410205,ChinaCollege of Systems Engineering,National University of Defense Technology,Changsha 410073,ChinaCollege of Systems Engineering,National University of Defense Technology,Changsha 410073,ChinaCollege of Transportation and Engineering,Central South University,Changsha 410073,ChinaDepartment of Automation,Tsinghua University,Beijing 100084,China
Evolutionary algorithmspattern miningsparse large-scale multi-objective problems(SLMOPs)sparse large-scale optimization
Evolutionary algorithmspattern miningsparse large-scale multi-objective problems(SLMOPs)sparse large-scale optimization
《自动化学报（英文版）》 2024 (8)
1786-1801,16
This work was support by the Open Project of Xiangjiang Laboratory(22XJ02003),the University Fundamental Research Fund(23-ZZCX-JDZ-28,ZK21-07),the National Science Fund for Outstanding Young Scholars(62122093),the National Natural Science Foundation of China(72071205),the Hunan Graduate Research Innovation Project(CX20230074),the Hunan Natural Science Foundation Regional Joint Project(2023JJ50490),the Science and Technology Project for Young and Middle-aged Talents of Hunan(2023TJ-Z03),and the Science and Technology Innovation Program of Humnan Province(2023RC1002).
评论