AN IMPROVED QUANTUM GENETIC ALGORITHM FOR EMERGENCY LOGISTICS SCHEDULING

摘要：

　　To solve the emergency logistics scheduling problem more efficiently, this paper presents an improved quantum genetic algorithm which applies greedy algorithm to decoding and simulated annealing algorithm to updating population.Numerical experiments show that the proposed quantum genetic algorithm is more effective than the traditional quantum genetic algorithm and the probability based quantum genetic algorithm for capacitated vehicle routing problem in emergency logistics scheduling.

关键词： Emergency logistics scheduling Quantum genetic algorithm Greedy algorithm Simulated annealing algorithm

作者: Zhongjun Hu Hong Zhou Shuangzhi Xia

作者单位: School of Economics and Management, Beihang University, Beijing 100191, China New Era Engineering Consulting Co.Ltd, Beijing, China

会议类型: 国际会议

会议名称: The 12th International Conference on Industrial Management(第十二届工业管理国际会议)

会议地点: 成都

会议语种:英文

页码: 307-309

在线出版日期: 2014-09-03（万方平台首次上网日期，不代表论文的发表时间）