紀要論文 解探索の広域化を図る改良粒子群最適化アルゴリズムの提案及び性能評価

松村, 修平

582017-03-31 , 法政大学大学院理工学・工学研究科
ISSN:21879923
NII書誌ID(NCID):AA12677220
内容記述
The optimization problems for solving the objective function to the maximum or minimum under the given constraint condition are important problems applied to various fields. Metaheuristics is used as a methodto obtain an acceptable solution within the practical time for the problems and Particle Swarm Optimization (PSO) is one of them. The characteristic of PSO is it has superior convergence speed, easy implementation oncomputer and there are many application examples. However, as with other methods, depending on the problems, it may be difficult to obtain a global optimum solution by fitting to local solutions.In this paper, we propose improved PSO using exchange of particles’ position vector, re-initialization and movement constraints in order to widen its search range and show the effectiveness through experiments.Key Words : Particle Swarm Optimization, PSO, Optimization problems
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http://repo.lib.hosei.ac.jp/bitstream/10114/13590/1/15R4128.pdf

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