Performance analysis of vegetation evolution

Jun Yu, 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

    2 被引用数 (Scopus)

    抄録

    We focus on analyzing the impact of operations of a proposed Vegetation evolution (VEGE) algorithm on its performance rather than compare it with other EC algorithms, i.e., investigate the impact of each component of the VEGE algorithm on its performance. To further analyze the performance of VEGE algorithm, we design a series of controlled experiments to investigate the contribution of each VEGE component by running them on 28 benchmark functions of 3 different dimensions. Subsequently, we summarize some our experiences on setting VEGE parameters to apply the VEGE to optimization tasks. The experimental results reveal that the maturity operation has a critical impact on performance and the number of growth operations of an individual is set as small as possible, while the number of generated seed individuals is not an important factor. Besides, we discover that population size should be gradually increased as the dimension increases. Finally, we point out several potential research directions.

    本文言語英語
    ホスト出版物のタイトル2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019
    出版社Institute of Electrical and Electronics Engineers Inc.
    ページ2214-2219
    ページ数6
    ISBN(電子版)9781728145693
    DOI
    出版ステータス出版済み - 10月 2019
    イベント2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019 - Bari, イタリア
    継続期間: 10月 6 201910月 9 2019

    出版物シリーズ

    名前Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
    2019-October
    ISSN(印刷版)1062-922X

    会議

    会議2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019
    国/地域イタリア
    CityBari
    Period10/6/1910/9/19

    !!!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

    フィンガープリント

    「Performance analysis of vegetation evolution」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

    引用スタイル