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Research on Algorithm of Optimizing of Physical Distribution Routing Problem with Time Windows

Author: LiuFangHua
Tutor: ZhaoJianMin
School: Zhejiang Normal University
Course: Computer Software and Theory
Keywords: Time window Logistics and distribution M \u0026 A algorithm
CLC: F250
Type: Master's thesis
Year: 2010
Downloads: 293
Quote: 0
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Abstract


With the development of economic globalization , driven by the globalization of the logistics industry , the development of the logistics industry also affects economic development . Thus , in economic development , the development of the logistics industry is becoming more and more important. Logistics and distribution logistics and transport account for a large proportion , which means that the cost of logistics is largely decided by the cost of logistics and transport , logistics cost depends on the logistics distribution route optimization is good or bad . How to improve the efficiency of logistics and distribution , is the current problem to be solved . Therefore , the logistics distribution route optimization is the key part of the logistics system , select the appropriate and reasonable distribution route , you can reduce logistics costs and improve the efficiency of logistics and distribution . In this paper, the work of the following two aspects : ( 1) by analyzing the logistics and distribution and marketing resources to optimize the allocation of a mergers and acquisitions algorithm . Through study and research existing solving the time window logistics distribution route optimization problems variety of algorithms , compare their advantages and disadvantages . On this basis , we propose a new algorithm , namely mergers and acquisitions algorithm . Were introduced acquisition algorithm ideas, elements and classification , and the establishment of the model of the M \u0026 A algorithm , as well as further analysis of the performance of the algorithm . (2) M \u0026 Algorithms and its performance test verification and analysis . This section is the focus of this study : First, create a mathematical model based time window logistics distribution routing problem . Secondly, the use of M \u0026 A used to construct the time window logistics distribution routing problem of mergers and acquisitions algorithm model and a time window logistics distribution route optimization problems with mixed M \u0026 A algorithm model . Finally , the use of these two algorithms model a number of simulation datasets in Solomon , to obtain the time window logistics distribution routing problem the optimal solution or the approximate optimal solution , and the experimental results were analyzed , compared and summarized .

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