Decision of the CEV Infrastructure Priority Order Using Genetic Algorithm

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