Novel PIO Algorithm with Multiple Selection Strategies for Many-Objective Optimization Problems

作     者：Zhihua Cui Lihong Zhao Youqian Zeng Yeqing Ren Wensheng Zhang Xiao-Zhi Gao 

作者机构：School of Computer Science and TechnologyTaiyuan University of Science and TechnologyTaiyuan 030024China School of Cyberspace SecurityBeijing University of Posts and TelecommunicationsBeijing 100876China State Key Laboratory of Intelligent Control and Management of Complex SystemsInstitute of AutomationChinese Academy of SciencesBeijing 100190China ComputingUniversity of Eastern FinlandKuopioFI-70211Finland 

出 版 物：《Complex System Modeling and Simulation》 (复杂系统建模与仿真（英文）)

年 卷 期：2021年第1卷第4期

页      面：291-307页

学科分类：07[理学] 0701[理学-数学] 070101[理学-基础数学] 

基　　金：This work was supported by the National Key Research and Development Program of China(No.2018YFC1604000) the National Natural Science Foundation of China(Nos.61806138,61772478,U1636220,61961160707,and 61976212) the Key R&D Program of Shanxi Province(High Technology)(No.201903D121119) the Key R&D Program of Shanxi Province(International Cooperation)(No.201903D421048) the Key R&D Program(International Science and Technology Cooperation Project)of Shanxi Province,China(No.201903D421003) 

主　　题：pigeon-inspired optimization algorithm many-objective optimization problem multiple selection strategy elite individual retention 

摘      要：With the increase of problem dimensions,most solutions of existing many-objective optimization algorithms are ***,the selection of individuals and the retention of elite individuals are *** algorithms cannot provide sufficient solution precision and guarantee the diversity and convergence of solution sets when solving practical many-objective industrial ***,this work proposes an improved many-objective pigeon-inspired optimization(ImMAPIO)algorithm with multiple selection strategies to solve many-objective optimization *** selection strategies integrating hypervolume,knee point,and vector angles are utilized to increase selection pressure to the true Pareto ***,the accuracy,convergence,and diversity of solutions are *** is applied to the DTLZ and WFG test functions with four to fifteen objectives and compared against NSGA-III,GrEA,MOEA/D,RVEA,and many-objective Pigeon-inspired optimization *** results indicate the superiority of ImMAPIO on these test functions.