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Improved Particle Swarm Optimization with a Collective Local Unimodal Search for Continuous Optimization Problems

A new local search technique is proposed and used to improve the performance of particle swarm optimization algorithms by addressing the problem of premature convergence. In the proposed local search technique, a potential particle position in the solution search space is collectively constructed by...

詳細記述

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書誌詳細
主要な著者: Arasomwan, Martins Akugbe, Adewumi, Aderemi Oluyinka
フォーマット: Artigo
言語:Inglês
出版事項: Hindawi Publishing Corporation 2014
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC3956635/
https://ncbi.nlm.nih.gov/pubmed/24723827
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2014/798129
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