An empirical study on influence of approximation approaches on enhancing fireworks algorithm

Yan Pei, Shaoqiu Zheng, Ying Tan, Hideyuki Takagi

    研究成果: 書籍/レポート タイプへの寄稿会議への寄与

    59 被引用数 (Scopus)

    抄録

    This paper presents an empirical study on the influence of approximation approaches on accelerating the fireworks algorithm search by elite strategy. In this study, we use three sampling data methods to approximate fitness landscape, i.e. the best fitness sampling method, the sampling distance near the best fitness individual sampling method and the random sampling method. For each approximation methods, we conduct a series of combinative evaluations with the different sampling method and sampling number for accelerating fireworks algorithm. The experimental evaluations on benchmark functions show that this elite strategy can enhance the fireworks algorithm search capability effectively. We also analyze and discuss the related issues on the influence of approximation model, sampling method, and sampling number on the fireworks algorithm acceleration performance.

    本文言語英語
    ホスト出版物のタイトルProceedings 2012 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2012
    ページ1322-1327
    ページ数6
    DOI
    出版ステータス出版済み - 2012
    イベント2012 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2012 - Seoul, 韓国
    継続期間: 10月 14 201210月 17 2012

    出版物シリーズ

    名前Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
    ISSN(印刷版)1062-922X

    その他

    その他2012 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2012
    国/地域韓国
    CitySeoul
    Period10/14/1210/17/12

    !!!All Science Journal Classification (ASJC) codes

    • 電子工学および電気工学
    • 制御およびシステム工学
    • 人間とコンピュータの相互作用

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