Developing a Vehicle Routing Model Considering Effective Criteria for Supporting of Military Units

Reza Tavakkoli Moghaddam, Massoud Mossadeghkhah, Hosseinali Hassanpour
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Abstract

In this research, a mathematical model of the vehicle routing problem to support military units is presented and solved. To present this model, first, various criteria extracted from the literature review of vehicle routing issues in the field of military, war and crisis are investigated. Then, the criteria that are important for supporting the military units under study are introduced and the mathematical model of the problem based on these criteria is presented. One of the salient features of the current research compared to similar researches is the simultaneous consideration of five effective criteria in supporting the units of this organization, which include "time window for delivery of goods to units", "ability to pick-up and deliver goods on the road transport route", "the heterogeneity of the fleet of road vehicles", "the need to send goods from multi-depot" and "the need to transport several types of goods". Since this is one of the optimization problems in the family of NP-hard problems, GA, PSO and SA algorithms were used to solve the model. In order to validate, the results of these algorithms have been compared with the exact solution results with GAMS software, which shows the proper performance of the proposed genetic algorithm.
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考虑部队保障有效准则的车辆路径模型研究
本文提出并求解了支援部队车辆路径问题的数学模型。为了提出该模型,首先对从军事、战争和危机领域的车辆路径问题的文献综述中提取的各种标准进行了研究。然后,介绍了保障所研究部队的重要准则,并基于这些准则建立了问题的数学模型。与同类研究相比,当前研究的一个显著特征是同时考虑了支持该组织单位的五个有效标准,包括“向单位交付货物的时间窗口”、“在公路运输路线上提取和交付货物的能力”、“公路车辆车队的异质性”、“从多个仓库发送货物的需要”和“运输几种货物的需要”。由于这是NP-hard问题族中的一个优化问题,因此使用GA、PSO和SA算法来求解该模型。为了验证这些算法的有效性,将这些算法的结果与GAMS软件的精确解结果进行了比较,表明所提出的遗传算法具有良好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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