首页> 外文会议>International Conference on Geo-spatial Solutions for Emergency Management >A RESEARCH OF EMERGENCY LOGISTICS DISTRIBUTION VRP BASED ON SIMULATED ANNEALING ALGORITHM
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A RESEARCH OF EMERGENCY LOGISTICS DISTRIBUTION VRP BASED ON SIMULATED ANNEALING ALGORITHM

机译:基于模拟退火算法的应急物流分布VRP研究

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In this paper, simulated annealing algorithm is studied and applied to the emergency logistics distribution vehicle routing optimization problem(VRP). In the process of disaster relief, the disaster relief control center makes the vehicle dispatch plan with the optimization result, then, not only the relief materials will be transported to the destination fast, but also the transportation cost will be cut down. Based on the mathematical description of the emergency logistics distribution VRP, the simulated annealing algorithm's mathematical model for solving this problem is established. Under the Visual C++ compile environment, a simulated sample is given, three random sampling methods are applied to this sample, by analying and comparing their result, it is found that different random sampling method directly affect the result, meanwhile, it shows that the result has global optimization characteristics, so that simulated annealing algorithm is superior to other optimization algorithms which are apt to fall into partial solution.
机译:本文研究了模拟退火算法,并应用于紧急物流分配车辆路由优化问题(VRP)。在救灾过程中,救灾控制中心使车辆调度计划具有优化结果,然后,不仅释放材料将快速运输到目的地,而且还将减少运输成本。基于紧急物流分布VRP的数学描述,建立了模拟退火算法的解决来解决这个问题的数学模型。在Visual C ++编译环境下,通过分析和比较它们的结果,给出了一种模拟样本,将三种随机采样方法应用于该样本,发现不同的随机采样方法直接影响结果,同时它表明结果具有全局优化特性,因此模拟的退火算法优于其他优化算法,即易于落入部分解决方案。

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