计算机应用 ›› 2010, Vol. 30 ›› Issue (2): 490-494.
• 人工智能 • 上一篇 下一篇
蒋霁云1,陈虎2
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摘要： 在产品供不应求的市场环境下，为了最大限度地满足市场需求，核心企业需要对供应链中的供应商组合进行选择，实现整个供应链网络的最大供应能力。为了有效地解决组合方案规模庞大、计算困难的问题，采用了嵌套的混合遗传算法对此问题进行优化，提出了一种计算大规模网络最大流的新算法。算例结果显示，该方法能够正确选择供应商组合，并求解网络的最大供应能力。
关键词: 大规模供应链网络, 供应能力, 供应商选择, 混合遗传算法
Abstract: Under the circumstance that the supply falls behind the demand, in order to satisfy market demand as much as possible, the core enterprises need vendor-selection in the supply chain to achieve maximum supplying capacity for the entire supply chain network. In order to solve the large-scale portfolio alternatives and the difficult calculation effectively, a nested hybrid genetic algorithm was used to optimize this issue. Meanwhile a new algorithm was presented for solving large-scale network maximum flow. The simulation results show that this method draws the right vendor-selection, and figures out the maximum supplying capacity for the network.
Key words: large-scale network supply chain, supply capability, vendor-selection, hybrid genetic algorithm
蒋霁云 陈虎. 基于供应商选择的大规模网络供应能力研究[J]. 计算机应用, 2010, 30(2): 490-494.
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