Comparative evaluations of evolutionary computation with elite obtained in reduced dimensional spaces

Yan Pei, 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

    9 被引用数 (Scopus)

    抄録

    We propose an elite synthesis optimization strategy for accelerating evolutionary computation (EC) searches using elites obtained from a lower dimensional space. The method projects individuals onto n one-dimensional spaces corresponding to each of the n searching parameter axes, approximates each landscape using Lagrange polynomial interpolation or power function least squares approximation, finds the best coordinate for the approximated shape, obtains the elite by combining the best n found coordinates, and uses the elite for the next generation of the EC. The advantage of this method is that the elite may be easily obtained thanks to their projection onto each one-dimensional space and that there is a higher possibility that the elite will be located near the global optimum. We conduct experimental tests to compare our proposed approaches with previous acceleration approaches using differential evolution and ten benchmark functions. The results demonstrate that the proposed method accelerates EC convergence significantly, especially in early generations.

    本文言語英語
    ホスト出版物のタイトルProceedings - 3rd IEEE International Conference on Intelligent Networking and Collaborative Systems, INCoS 2011
    ページ35-40
    ページ数6
    DOI
    出版ステータス出版済み - 2011
    イベント3rd IEEE International Conference on Intelligent Networking and CollaborativeSystems, INCoS 2011 - Fukuoka, 日本
    継続期間: 11月 30 201112月 2 2011

    出版物シリーズ

    名前Proceedings - 3rd IEEE International Conference on Intelligent Networking and Collaborative Systems, INCoS 2011

    その他

    その他3rd IEEE International Conference on Intelligent Networking and CollaborativeSystems, INCoS 2011
    国/地域日本
    CityFukuoka
    Period11/30/1112/2/11

    !!!All Science Journal Classification (ASJC) codes

    • 人工知能
    • コンピュータ ネットワークおよび通信

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