Asynchronous digenetic Particle Swarm Optimization for global and sustainable search

Yoshinao Ishii, Takashi Okamoto, Eitaro Aiyoshi

研究成果: Article

4 引用 (Scopus)

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Particle Swarm Optimization (PSO), which has attracted attention as a global optimization method in recent years, has a drawback in that sustainable search cannot be performed until the end of computation due to its strong convergence trend. In this paper, in order to realize a sustainable search in PSO, the improved PSO using concepts of particle ages and digenesis is proposed. In the new PSO, parameters in the update formula are degenerated and a stagnant particle is erased if it loses activity, and then a new search point in which large parameter values are assigned. In addition, information regarding the elite point of all searching points until the current time is reflected to new points in next generation. The effectiveness of the improved method is confirmed through applications to benchmark problems.

元の言語English
ページ(範囲)626-634
ページ数9
ジャーナルIEEJ Transactions on Electronics, Information and Systems
131
発行部数3
DOI
出版物ステータスPublished - 2011

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ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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