The Mathematical Modeling of the Mobile Recharging Facility Vehicles' Scheduling and Its Genetic Algorithm Solution

被引：0
|
作者：
Zhou, Jin [1 ]
Yang, Guanqun [1 ]
Tang, Guochun [2 ]
机构：
[1] Shanghai Second Polytech Univ, Coll Engn, Shanghai, Peoples R China
[2] Shanghai Second Polytech Univ, Sch Econ & Management, Shanghai, Peoples R China
来源：
2015 IEEE INTERNATIONAL CONFERENCE ON CYBER TECHNOLOGY IN AUTOMATION, CONTROL, AND INTELLIGENT SYSTEMS (CYBER) | 2015年
关键词：
mobile battery recharging/swapping system; electric vehicle; genetic algorithm; optimization model;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
By means of operation research and genetic algorithm, the scheduling of mobile battery recharging/swapping systems for electric vehicles is studied. It is helpful to enhance the dispatch plan decision ability for mobile recharging facility vehicles. After discussing and summarizing the customer needs of mobile battery recharging/swapping systems, an optimization model is put forward. Then the genetic algorithm is used to calculate the combinatorial model. The experiment results demonstrate that the model and corresponding computing method is feasible.
引用
收藏
页码：2040 / 2043
页数：4
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