A survey on accelerating evolutionary computation approaches

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

20 被引用数 (Scopus)

抄録

In this paper, we review the research on acceleration convergence approaches of evolutionary computation (EC) and its concrete application in the academy and industry. Evolutionary computation uses iterative progress, which is often inspired by biological mechanisms of evolution, to solve the problems that are multi-modal, multi-objective, discontinuous, non-differential, noisy and not well-defined. In this survey, many acceleration approaches are summarized and clustered in recent two decades. Applications of the acceleration approaches are included. We propose three promising research directions and their concrete approaches. These include including search space landscape approximation, search space projection and search strategy study, and comprise the main further research directions to be implemented an efficient EC search. Finally, we discuss the future research on accelerating convergence approaches of EC, and motivate some new approaches.

本文言語英語
ホスト出版物のタイトルProceedings of the 2011 International Conference of Soft Computing and Pattern Recognition, SoCPaR 2011
ページ201-206
ページ数6
DOI
出版ステータス出版済み - 2011
イベント2011 International Conference of Soft Computing and Pattern Recognition, SoCPaR 2011 - Dalian, 中国
継続期間: 10 14 201110 16 2011

出版物シリーズ

名前Proceedings of the 2011 International Conference of Soft Computing and Pattern Recognition, SoCPaR 2011

その他

その他2011 International Conference of Soft Computing and Pattern Recognition, SoCPaR 2011
国/地域中国
CityDalian
Period10/14/1110/16/11

All Science Journal Classification (ASJC) codes

  • コンピュータ ビジョンおよびパターン認識
  • ソフトウェア

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