文献类型：会议论文

英文题名：Improved genetic algorithm in vehicle management

作者：Zhu, Shan Hong[1,2]; Kuang, Tao[1]

第一作者：Zhu, Shan Hong

机构：[1] School of Computer and Information Engineering, Xinxiang university, Henan, China; [2] International School of Software, Wuhan University, Wuhan, China

第一机构：新乡学院计算机与信息工程学院

会议论文集：Materials Science, Computer and Information Technology

会议日期：June 14, 2014 - June 15, 2014

会议地点：Tianjin, China

语种：英文

外文关键词：Algorithms - Genetic algorithms - Logistics

摘要：As the development of world economy, demand of logistics industry is getting more complex. Vehicle management dispatcher is an important part in logistic system, so how to realize the reasonable dispatcher of vehicles under the circumstance of multi-resources- constrain is the key issue in promoting the prosperity and development of modern logistics industry. The traditional genetic algorithm has the disadvantages that hinder the development and promotion of vehicle dispatcher and slow retard the development speed of logistics industry. Through the research of vehicle dispatcher's demand, we have put forward a new genetic algorithm which is improved, effective and adept to the normal vehicle dispatcher. We have proved that this algorithm is feasible and effective by analyzing the examples. ? (2014) Trans Tech Publications, Switzerland.