Performance analysis of vegetation evolution

Jun Yu, Hideyuki Takagi

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

    4 Citations (Scopus)

    Abstract

    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.

    Original languageEnglish
    Title of host publication2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages2214-2219
    Number of pages6
    ISBN (Electronic)9781728145693
    DOIs
    Publication statusPublished - Oct 2019
    Event2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019 - Bari, Italy
    Duration: Oct 6 2019Oct 9 2019

    Publication series

    NameConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
    Volume2019-October
    ISSN (Print)1062-922X

    Conference

    Conference2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019
    Country/TerritoryItaly
    CityBari
    Period10/6/1910/9/19

    All Science Journal Classification (ASJC) codes

    • Electrical and Electronic Engineering
    • Control and Systems Engineering
    • Human-Computer Interaction

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