Decision of the CEV infrastructure priority order using Genetic Algorithm

Fumiko Koyanagi*, Yudai Aida, Tadashi Kon, Ryuichi Yokoyama

*Corresponding author for this work

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

    1 Citation (Scopus)

    Abstract

    This paper presents a decision making approach for the priority order of the configuration of CEV refueling infrastructure among many candidate locations. The optimal refueling stations are estimated by the Genetic Algorithm (GA), which has previously reported by the authors. From detailed investigation of fiscal year deviations on target market of Tokyo, Japan, both the importance and the benefit of the locations are estimated and prospected as the priority order.

    Original languageEnglish
    Title of host publication2006 IEEE Vehicle Power and Propulsion Conference, VPPC 2006
    DOIs
    Publication statusPublished - 2006
    Event2006 IEEE Vehicle Power and Propulsion Conference, VPPC 2006 - Windsor
    Duration: 2006 Sept 62006 Sept 8

    Other

    Other2006 IEEE Vehicle Power and Propulsion Conference, VPPC 2006
    CityWindsor
    Period06/9/606/9/8

    Keywords

    • CEV
    • GA
    • Infrastructure
    • Optimal Allocation
    • Priority Order

    ASJC Scopus subject areas

    • Automotive Engineering

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