An improved genetic algorithm for the multi-echelon inventory problem of repairable spare parts

摘要：

Repairable spare parts are crucial material basis for equipment support, and the multi-echelon inventory control of it is an important practical problem. In this paper, an improved genetic algorithm for the multi-inventory problem of repairable spare parts was proposed. In our algorithm, three crossover operators and a mutation operator were implemented, and a local search procedure that includes two heuristics was integrated into the algorithm. The comparison experiments of different genetic operator combinations were performed, and computational results clearly show that the improved genetic algorithm for the multi-inventory problem of repairable spare parts is more efficient than previous genetic algorithm.

关键词： genetic algorithm multi-echelon inventory problem repairable spare parts genetic operator

作者: Sun Jiangsheng Zhao Fanggeng Zhang Lianwu

作者单位: Ordnance Technology Research Institute Ordnance Engineering College Shijiazhuang,China Ordnance Technology Research Institute Ordnance Engineering College Shijiazhuang, China Department o Ordnance Technology Research Institute Ordnance Engineering College Shijiazhuang, China

会议类型: 国际会议

会议名称: 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems(2010 IEEE 智能计算与智能系统国际会议 ICIS 2010)

会议地点: 厦门

会议语种:英文

页码: 440-444

在线出版日期: 2010-10-29（万方平台首次上网日期，不代表论文的发表时间）