Multiobjective design optimization of electric machine by using genetic algorithm with aggressive species diversity

Yusuke Tsurumi, Shinji Wakao

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

    Abstract

    In the design optimization of electric machine, there is a strong need to comprehend in detail the tradeoff relationships among the various objective functions. Therefore, it is important to obtain the sufficiently diverse pareto solutions for appropriately designing electric machine. However, the conventional genetic algorithm (GA) doesn't necessarily find out the diverse pareto solutions. In this paper, we propose a GA with new concept of crowding distance which enables us to obtain the sufficiently diverse pareto solution. Some numerical examples which demonstrate the validity of the proposed method is presented.

    Original languageEnglish
    Title of host publicationDigests of the 2010 14th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2010
    DOIs
    Publication statusPublished - 2010
    Event14th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC2010 - Chicago, IL
    Duration: 2010 May 92010 May 12

    Other

    Other14th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC2010
    CityChicago, IL
    Period10/5/910/5/12

    Fingerprint

    Electric machinery
    Biodiversity
    Genetic algorithms
    Design optimization

    ASJC Scopus subject areas

    • Computational Theory and Mathematics
    • Electrical and Electronic Engineering

    Cite this

    Tsurumi, Y., & Wakao, S. (2010). Multiobjective design optimization of electric machine by using genetic algorithm with aggressive species diversity. In Digests of the 2010 14th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2010 [5481748] https://doi.org/10.1109/CEFC.2010.5481748

    Multiobjective design optimization of electric machine by using genetic algorithm with aggressive species diversity. / Tsurumi, Yusuke; Wakao, Shinji.

    Digests of the 2010 14th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2010. 2010. 5481748.

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

    Tsurumi, Y & Wakao, S 2010, Multiobjective design optimization of electric machine by using genetic algorithm with aggressive species diversity. in Digests of the 2010 14th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2010., 5481748, 14th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC2010, Chicago, IL, 10/5/9. https://doi.org/10.1109/CEFC.2010.5481748
    Tsurumi Y, Wakao S. Multiobjective design optimization of electric machine by using genetic algorithm with aggressive species diversity. In Digests of the 2010 14th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2010. 2010. 5481748 https://doi.org/10.1109/CEFC.2010.5481748
    Tsurumi, Yusuke ; Wakao, Shinji. / Multiobjective design optimization of electric machine by using genetic algorithm with aggressive species diversity. Digests of the 2010 14th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2010. 2010.
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