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带时间窗的多配送中心协同配送问题研究 被引量:13

Study on Collaborative Distribution Problem of Multi-Distribution with Time Windows
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摘要 研究了多个配送中心协同配送下的车辆路径问题,建立运力和时间窗约束下的运输成本和时间惩罚成本之和最小化模型.考虑多配送中心路径优化问题的复杂性,提出了基于预分割和再调整的两阶段优化策略,采用罚数分配法分割需求点集合,将问题分解成多个单配送中心路径问题,启发式构建初始解,设计禁忌搜索算法求解.在调整阶段,将各集合中未分配的需求点重新分割,变邻域禁忌搜索再次优化路径.最后给出算例分析,验证了模型的合理性和改进算法的有效性. This paper studies vehicle routing problem of collaborative distribution with multi-distribution, builds model to minimize the sum of transport cost and time penalty cost with constraints of capacity and time windows. Considering the complexity of route optimization problem in multi-distribution center, presents a two-stage optimization strategy of fore-segmentation and readjustment, divides demand points by penalty number allocation method, and decomposes problem into several single distribution center routing problem, constructs an initial solution by heuristic method, designs tabu search. In adjustment stage, divides demand points of each collection again which undistributed, applies tabu search of variable neighborhood to optimize route again. Finally numerical analysis is given to verify the rationality of this model and the effectiveness of the improved algorithm.
作者 肖玉徽 楼振凯 戴晓震 XIAO Yu-hui1, LOU Zhen-kai2, DAI Xiao-zhen3(1. School of Business Administration, Haikou University of Economics, Haikou 571127, China;2. School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China;3. School of Management, Wenzhou Business College, Wenzhou 325035, Chin)
出处 《数学的实践与认识》 北大核心 2018年第14期171-177,共7页 Mathematics in Practice and Theory
关键词 协同配送 时间窗约束 需求点分割 禁忌搜索 变邻域搜索 collaborative distribution time windows constraint demand point segmentation tabu search variable neighborhood search
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