典型文献
Enhanced Butterfly Optimization Algorithm for Large-Scale Optimization Problems
文献摘要：
To solve large-scale optimization problems,Fragrance coefficient and variant Particle Swarm local search Butterfly Opti-mization Algorithm(FPSBOA)is proposed.In the position update stage of Butterfly Optimization Algorithm(BOA),the fragrance coefficient is designed to balance the exploration and exploitation of BOA.The variant particle swarm local search strategy is proposed to improve the local search ability of the current optimal butterfly and prevent the algorithm from fall-ing into local optimality.19 2000-dimensional functions and 20 1000-dimensional CEC 2010 large-scale functions are used to verify FPSBOA for complex large-scale optimization problems.The experimental results are statistically analyzed by Friedman test and Wilcoxon rank-sum test.All attained results demonstrated that FPSBOA can better solve more challenging scientific and industrial real-world problems with thousands of variables.Finally,four mechanical engineering problems and one ten-dimensional process synthesis and design problem are applied to FPSBOA,which shows FPSBOA has the feasibility and effectiveness in real-world application problems.
文献关键词：
中图分类号：
作者姓名：
Yu Li;Xiaomei Yu;Jingsen Liu
作者机构：
Institute of Management Science and Engineering,and School of Business,Henan University,Kaifeng 475004,China;School of Business,Henan University,Kaifeng 475004,China;Institute of Intelligent Network Systems,and Software School,Henan University,Kaifeng 475004,China
文献出处：
引用格式：
[1]Yu Li;Xiaomei Yu;Jingsen Liu-.Enhanced Butterfly Optimization Algorithm for Large-Scale Optimization Problems)[J].仿生工程学报（英文版）,2022(02):554-570
A类：
FPSBOA
B类：
Enhanced,Butterfly,Optimization,Algorithm,Large,Scale,Problems,To,solve,large,scale,optimization,problems,Fragrance,coefficient,variant,Particle,Swarm,local,search,proposed,In,position,update,stage,fragrance,designed,balance,exploration,exploitation,particle,swarm,strategy,improve,ability,current,butterfly,prevent,algorithm,from,fall,into,optimality,dimensional,functions,CEC,are,used,verify,complex,experimental,results,statistically,analyzed,by,Friedman,test,Wilcoxon,rank,sum,All,attained,demonstrated,that,can,better,more,challenging,scientific,industrial,real,world,thousands,variables,Finally,four,mechanical,engineering,one,ten,process,synthesis,applied,which,shows,has,feasibility,effectiveness,application
AB值：
0.566283
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