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基于免疫遗传算法的敏捷供应链伙伴选择
Partner Selection of Agile Supply Chain Based on Immune Genetic Algorithm
【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。
【Abstract】 Partner selection is a key problem in the process of buildup of Agile Supply Chain.It 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.Its 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.
【Key words】 Agile Supply Chain; partner selection; Immune Genetic Algorithm; memory base;
- 【文献出处】 计算机工程与应用 ,Computer Engineering and Applications , 编辑部邮箱 ,2006年21期
- 【分类号】F274;F224
- 【被引频次】18
- 【下载频次】287