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基于并购算法的物流配送路径优化的研究 被引量：4

Research on Optimizing Physical Distribution Routing Based on Mergers & Acquisitions Algorithm
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摘要 优化物流配送路径是一个经典的NP问题,构造基于并购算法的物流配送路径优化的模型。经过多次模拟实验,可以快速获取物流配送路径优化问题的最优解或近似最优解。由此得出并购算法在求解物流配路径优化方面有较强的优越性。 Optimizing physical distribution routing is a classic NP problem; it constructs the model of optimizing physical distribution routing based on M ＆ A algorithm. After making some experiments, it obtains quickly the optimal or nearly optimal solutions to the problem of optimizing physical distribution routing. Thus, M＆A algorithm has its own superiority in solving the problem of optimizing physical distribution routing.
作者 刘芳华 赵建民 徐慧英
机构地区 浙江师范大学数理与信息工程学院
出处 《计算机与数字工程》 2009年第8期25-28,共4页 Computer & Digital Engineering
基金 浙江省科技计划项目(编号:2008C11106-2)资助
关键词 并购算法 物流配送 劣信度 路径优化 mergers＆acquisitions algorithm, physical distribution, bad credit, optimizing routing
分类号 TP14 [自动化与计算机技术—控制理论与控制工程]
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参考文献11

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二级参考文献8

共引文献62

同被引文献28

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  • 10Alvarenga G B,Mateus G R,de Tomi G.A genetic and set partitioning two-phase approach for the vehicle routing problem with time windows[J].Computers & Operations Research,2007,34(6):1561-1584.

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计算机与数字工程
2009年 第8期

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