Analytical estimation of the convergence point of populations

Noboru Murata, Ryuei Nishii, Hideyuki Takagi, Yan Pei

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    8 Citations (Scopus)

    Abstract

    We propose methods of estimating the convergence point for the moving vectors of individuals between generations or evolution paths and show that the estimated convergence point can be useful information for accelerating evolutionary computation (EC). As the first stage of this new approach, we do not combine the proposed methods with EC search in this paper, but rather evaluate how power an individual the the estimated convergence point is by comparing fitness values. Through experimental evaluations, we show that the estimated point can be a powerful elite for unimodal fitness landscapes and that clustering moving vectors according to the aimed points is the next research target for multimodal fitness landscape.

    Original languageEnglish
    Title of host publication2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages2619-2624
    Number of pages6
    ISBN (Print)9781479974924
    DOIs
    Publication statusPublished - 2015 Sep 10
    EventIEEE Congress on Evolutionary Computation, CEC 2015 - Sendai, Japan
    Duration: 2015 May 252015 May 28

    Other

    OtherIEEE Congress on Evolutionary Computation, CEC 2015
    CountryJapan
    CitySendai
    Period15/5/2515/5/28

    ASJC Scopus subject areas

    • Computer Science Applications
    • Computational Mathematics

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  • Cite this

    Murata, N., Nishii, R., Takagi, H., & Pei, Y. (2015). Analytical estimation of the convergence point of populations. In 2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings (pp. 2619-2624). [7257211] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CEC.2015.7257211