Population Based Equilibrium in Hybrid SA/PSO for Combinatorial Optimization: Hybrid SA/PSO for Combinatorial Optimization

Int. J. Softw. Sci. Comput. Intell. Pub Date : 2020-04-01 DOI:10.4018/ijssci.2020040105

K. Brezinski, Michael Guevarra, K. Ferens

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引用次数: 12

Abstract

Thisarticleintroducesahybridalgorithmcombiningsimulatedannealing(SA)andparticleswarm optimization (PSO) to improve the convergence time of a series of combinatorial optimization problems.TheimplementationcarriedoutadynamicdeterminationoftheequilibriumloopsinSA throughasimple,yeteffectivedeterminationbasedontherecentperformanceoftheswarmmembers. Inparticular,theauthorsdemonstratedthatstrongimprovementsinconvergencetimefollowedfrom amarginaldecreaseinglobalsearchefficiencycomparedtothatofSAalone,forseveralbenchmark instancesofthetravelingsalespersonproblem(TSP).Followingtestingon4additionalcitylistTSP problems,a30%decreaseinconvergencetimewasachieved.Allinall,thehybridimplementation minimizedtherelianceonparametertuningofSA,leadingtosignificantimprovementstoconvergence timecomparedtothoseobtainedwithSAaloneforthe15benchmarkproblemstested. KEywORdS Cognition, Combinatorial Optimization, Global Optimization, Metaheuristics, Particle Swarm Optimization, Simulated Annealing, Swarm Intelligence, Traveling Salesperson Problem

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基于种群平衡的混合粒子群算法组合优化研究

Thisarticleintroducesahybridalgorithmcombiningsimulatedannealing(SA)andparticleswarm optimation_ (PSO) _改进_一系列_组合优化问题的_收敛_时间_。TheimplementationcarriedoutadynamicdeterminationoftheequilibriumloopsinSA throughasimple，yeteffectivedeterminationbasedontherecentperformanceoftheswarmmembers。> Inparticular，theauthorsdemonstratedthatstrongimprovementsinconvergencetimefollowedfrom amarginaldecreaseinglobalsearchefficiencycomparedtothatofSAalone，forseveralbenchmark instancesofthetravelingsalespersonproblem(TSP)。Followingtestingon4additionalcitylistTSP问题，a30%decreaseinconvergencetimewasachieved。Allinall，thehybridimplementation minimizedtherelianceonparametertuningofSA，leadingtosignificantimprovementstoconvergence timecomparedtothoseobtainedwithSAaloneforthe15benchmarkproblemstested。关键词认知，组合优化，全局优化，元启发式，粒子群优化，模拟退火，群体智能，旅行销售员问题

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Int. J. Softw. Sci. Comput. Intell.

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