Solving Large-Scale Battery Distribution Problem in Charging Station Network Using Genetic Algorithm

摘要：

How to accomplish large-scale battery optimal distribution is a very important and difficult problem in charging station network. Using traditional methods, such as Simulated Annealing, may not get satisfactory solution. Genetic Algorithm (GA), as a bionic-inspired optimization algorithm, has great potentials to solve combination optimization problems and is adopted to solve largescale battery optimal distribution problem. The steps for large-scale battery optimal distribution using GA are given out. The comparison experiment results show its validity to solve large-scale battery optimal distribution problem.

关键词： Battery distribution charging station network Simulated Annealing Genetic Algorithm

作者: Qingsheng Shi Yanbo Hui Xinmin Xiong

作者单位: College of Electrical Engineering, Henan University of technology, Zhengzhou 450007

会议类型: 国际会议

会议名称: 2010 International Conference on Information Technology and Industrial Engineering(2010年信息技术与工业工程国际学术会议 ITIE 2010)

会议地点: 武汉

会议语种:英文

页码: 700-703

在线出版日期: 2010-06-06（万方平台首次上网日期，不代表论文的发表时间）