摘要
伙伴选择是在组建敏捷供应链过程中的关键问题,主要研究如何在众多候选企业中选择合作伙伴组成最优敏捷供应链。论文引入免疫遗传来解决这一问题,提出了一种基于免疫遗传的敏捷供应链伙伴选择算法,其免疫机制较好地避免了算法的“早熟”,改善了算法的全局搜索性能,提高了收敛速度。最后以一个典型算例说明了该算法的有效性。
Partner selection is a key problem in the process of buildup of Agile Supply Chain.lt mainly researches how to choose the collaborative partners from the numerous corporations to form the optimal Agile Supply Chain.This paper adopts Immune Genetic Algorithm to solve the problem,and presents the Immune Genetic Algorithm based Agile Supply Chain partner selection algorithm.hs immune mechanism can avoid the phenomenon of premature in some extent, improve the global searching capability,and enhance the convergence velocity.Finally,a typical simulation study is carried out to illustrate the validity of the algorithm.
出处
《计算机工程与应用》
CSCD
北大核心
2006年第21期203-206,共4页
Computer Engineering and Applications
基金
合肥工业大学科学研究发展基金(050505F)
关键词
敏捷供应链
伙伴选择
免疫遗传算法
记忆库
Agile Supply Chain,partner selection,Immune Genetic Algorithm,memory base
