The Study of Warehousing Slotting Optimization Based on the Improved Adaptive Genetic Algorithm

摘要：

　　Based on the linear adaptive genetic algorithms presented by Srinivas M,this paper improves the algorithm from the representation of the population diversity,proposing a new adaptive genetic algorithm; According to the basic principle of warehousing and the status of inventory,we summarize the storage location selection as a problem of multi-objective optimization,and establish a corresponding mathematical model; Using the improved algorithm to solve the storage location model indicates that the algorithm can better work out the problem of warehousing and the best location,which proves the validity of the algorithm.

关键词： Storage efficiency Slotting optimization The improved adaptive genetic algorithm Multi-objective optimization

作者: Lvqing Yang Wei-wei LIU Youjing Bai

作者单位: Software School,Xiamen University,Xiamen 361005,China Faculty of Informatics,Fujian Vocational College of Agriculture,Fuzhou,Fujian 350001,China

会议类型: 国际会议

会议名称: 2017 6th International Conference on Advanced Materials and Computer Science (ICAMCS 2017) 2017年第六届先进材料与计算机科学国际会议(ICAMCS 2017)

会议地点: 郑州

会议语种:英文

页码: 1-8

在线出版日期: 2017-04-29（万方平台首次上网日期，不代表论文的发表时间）