Accelerating evolutionary computation using estimated convergence points

Jun Yu, Yan Pei, Hideyuki Takagi

研究成果: 著書/レポートタイプへの貢献会議での発言

4 引用 (Scopus)

抜粋

We use the convergence points estimated by our proposed method as elite individuals for evolutionary computation and evaluate the acceleration effect and analyze the effect and computational cost. The worst individuals in population are replaced with the convergence points estimated from the moving vectors between parent individuals and their offspring; i.e. these convergence points are used as elite individuals. Differential evolution (DE) and 14 benchmark functions are used in our evaluation experiments. The experimental results show that use of the estimated convergence points as elite can accelerate DE search in spite of the calculation cost of the convergence points. We finally analyze the components of the proposed estimation method to improve cost-performance.

元の言語英語
ホスト出版物のタイトル2016 IEEE Congress on Evolutionary Computation, CEC 2016
出版者Institute of Electrical and Electronics Engineers Inc.
ページ1438-1444
ページ数7
ISBN(電子版)9781509006229
DOI
出版物ステータス出版済み - 11 14 2016
イベント2016 IEEE Congress on Evolutionary Computation, CEC 2016 - Vancouver, カナダ
継続期間: 7 24 20167 29 2016

出版物シリーズ

名前2016 IEEE Congress on Evolutionary Computation, CEC 2016

その他

その他2016 IEEE Congress on Evolutionary Computation, CEC 2016
カナダ
Vancouver
期間7/24/167/29/16

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Modelling and Simulation
  • Computer Science Applications
  • Control and Optimization

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  • これを引用

    Yu, J., Pei, Y., & Takagi, H. (2016). Accelerating evolutionary computation using estimated convergence points. : 2016 IEEE Congress on Evolutionary Computation, CEC 2016 (pp. 1438-1444). [7743959] (2016 IEEE Congress on Evolutionary Computation, CEC 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CEC.2016.7743959