A Two-Layer Encoding Learning Swarm Optimizer Based on Frequent Itemsets for Sparse Large-Scale Multi-Objective OptimizationOACSTPCDEI
Traditional large-scale multi-objective optimization algorithms(LSMOEAs)encounter difficulties when dealing with sparse large-scale multi-objective optimization problems(SLM-OPs)where most decision variables are zero.As a res…查看全部>>
Sheng Qi;Rui Wang;Tao Zhang;Xu Yang;Ruiqing Sun;Ling Wang
College of Systems Engineering,National University of Defense Technology,Changsha 410073,ChinaCollege of Systems Engineering,National University of Defense Technology,Changsha 410073,China Xiangjiang Laboratory,Changsha 410205,China IEEECollege of Systems Engineering,National University of Defense Technology,Changsha 410073,ChinaCollege of Computer,National University of Defense Technology,Changsha 410073,ChinaCollege of Computer,National University of Defense Technology,Changsha 410073,ChinaDepartment of Automation,Tsinghua University,Beijing 100084,China
计算机与自动化
Evolutionary algorithmslearning swarm optimiza-tionsparse large-scale optimizationsparse large-scale multi-objec-tive problemstwo-layer encoding.
《IEEE/CAA Journal of Automatica Sinica》 2024 (6)
P.1342-1357,16
supported by the Scientific Research Project of Xiang Jiang Lab(22XJ02003)the University Fundamental Research Fund(23-ZZCX-JDZ-28)the National Science Fund for Outstanding Young Scholars(62122093)the National Natural Science Foundation of China(72071205)the Hunan Graduate Research Innovation Project(ZC23112101-10)the Hunan Natural Science Foundation Regional Joint Project(2023JJ50490)the Science and Technology Project for Young and Middle-aged Talents of Hunan(2023TJ-Z03)the Science and Technology Innovation Program of Humnan Province(2023RC1002)。
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