OPTIMIZATION OF LOCATIONS OF LOGISTICS CENTERS BASED ON IMPROVED GENETIC ALGORITHM

摘要：

In this paper, we start from the characteristics and demands of locations of logistics centers and propose a mathematics model for locations problems. This model is based on the optimization of the total transport costs and time among customers and their serving centers. We also propose an improved genetic algorithm in which self-adaptive crossover operator and mutation operator have been designed to improve the capability in searching local areas and avoid premature convergence effectively. Finally, we demonstrate that the improved algorithm can solve the optimization problems of the locations of logistics centers promptly by examples.

关键词： Genetic Algorithm (GA) locations of logistics centers logistics

作者: Lu Qingling Lian Enjie Li Qingquan Tu Xuyan

作者单位: Department of Technical Support Engineering,the Academy of Armored Forces Engineering,Beijing,,10007 Information Engineering School,University of Science and Technology Beijing,Beijing,100083,China

会议类型: 国际会议

会议名称: 2008年拟人系统国际会议(2008 International Conference on Humanized Systems )(ICHS’08)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-10-18（万方平台首次上网日期，不代表论文的发表时间）