Application of gravity vectors and moving vectors for the acceleration of both differential evolution and interactive differential evolution

Ryohei Funaki, Hideyuki Takagi

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

    3 Citations (Scopus)

    Abstract

    We propose and evaluate two methods for accelerating differential evolution and interactive differential evolution (IDE). The first acceleration method, which we call DE/gravity, aims to realize performance similar to that of paired-comparison-based IDE/best while removing the requirement that the IDE user must choose the best individual among all displayed individuals. The second acceleration method generates not only a conventional trial vector but also a second and third trial vector. It calculates a moving average vector, X moving, for the population between generations, and compares a given target vector with the three trial vectors of a conventional trial vector, a target vector + Xmoving, and a trial vector + Xmoving, and uses the best one among the four vectors as offspring in the next generation. We evaluate these acceleration methods and a conventional method by applying them to Gaussian mixture models and demonstrate the effectiveness of our proposed methods.

    Original languageEnglish
    Title of host publicationProceedings - 2011 5th International Conference on Genetic and Evolutionary Computing, ICGEC 2011
    Pages287-290
    Number of pages4
    DOIs
    Publication statusPublished - 2011
    Event5th International Conference on Genetic and Evolutionary Computing, ICGEC2011 - Xiamen, China
    Duration: Aug 29 2011Sept 1 2011

    Publication series

    NameProceedings - 2011 5th International Conference on Genetic and Evolutionary Computing, ICGEC 2011

    Other

    Other5th International Conference on Genetic and Evolutionary Computing, ICGEC2011
    Country/TerritoryChina
    CityXiamen
    Period8/29/119/1/11

    All Science Journal Classification (ASJC) codes

    • Computational Theory and Mathematics
    • Computer Science Applications

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