MISC

査読有り
2018年2月2日

Investigation of particles behaviors of piecewise-linear particle swarm optimizer

2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 - Proceedings
  • Tomoyuki Sasaki
  • ,
  • Hidehiro Nakano

2018-
開始ページ
1
終了ページ
7
記述言語
英語
掲載種別
研究発表ペーパー・要旨(国際会議)
DOI
10.1109/SSCI.2017.8285337
出版者・発行元
Institute of Electrical and Electronics Engineers Inc.

In our previous study, we have proposed piecewise-linear particle swarm optimizer (PPSO). The dynamics of each particle in PPSO has two search modes that are dynamically switchable to each other. PPSO has better search performance to solve non-separable problems than the classical PSO. However, since it was not clarified why PPSO was effective in solving such problems, we have now studied whether particle behavior in PPSO affects the search performance, focusing on search direction of particles to compare the search direction of PPSO particles with that of PSO particles. We further compared the search performance for parameter pattern of PPSO with the classical PSO based on numerical data. Here, we suggest that PPSO particles can move in solution space freely and that the behavior of PPSO particles is effective for solving the non-separable problems.

リンク情報
DOI
https://doi.org/10.1109/SSCI.2017.8285337
ID情報
  • DOI : 10.1109/SSCI.2017.8285337
  • SCOPUS ID : 85046087727

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