基于蚁群算法的敏捷供应链伙伴选择

Partner Selection of Agile Supply Chain Based on Ant Colony Optimization Algorithm

伙伴选择是在组建敏捷供应链过程中的关键问题。引入蚁群优化来解决这一问题,提出了一种基于蚁群算法的敏捷供应链伙伴选择优化算法。在求解过程中蚂蚁倾向于选择曾经合作过并且合作效果比较好的企业作为伙伴并组成供应链,体现了熟人机制;“自适应扰动机制”可以避免算法的早熟。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. Ant Colony Optimization was adopted to solve the problem, and a partner selection of Agile Supply Chain algorithm was proposed based on improved Ant Colony Algorithm. During the process of solution, ants incline to choose those enterprises who cooperated well before to form Supply Chains, and the ＂self-adaptive perturbation mechanism＂ can avoid the prematurity of the algorithm. Finally, a typical simulation study was carried out to illustrate its validity.