外包公司车辆路线模拟退火算法

Cindy Cristina Pinheiro, C. Fernandes, Silvia Lopes de Sena Taglialenha
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引用次数: 1

摘要

当前位置在竞争日益激烈的经济环境中,公司纷纷投资于创新和降低成本。使用物流解决方案是降低维护成本和提高服务水平的一个很好的选择。车辆路线方法的使用可以被认为是这样一种工具。本文提出了一个最大时间约束车辆路径问题,该问题利用数学规划、启发式和元启发式技术,在C/ c++语言中识别并实现了一种算法。采用的方法得到了一个解决方案,减少了公司执行的八到六个步骤。此外,模拟退火模拟比考虑下一个最近项启发式的初始解提高了10.71%,比精确方法中使用的初始解提高了13.80%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ALGORITMO SIMULATED ANNEALING PARA ROTEIRIZAÇÃO DE VEÍCULOS EM UMA EMPRESA DE OUTSOURCING
: In an increasingly competitive economic environment companies have been invested in innovation and cost reduction. The use of logistics solutions has shown a good alternative to reduce maintenance costs and improving service levels. The use of vehicle routing methods can be considered as one such instrument. In this paper was presented a maximum time-constrained vehicle routing problem, which identifying and implementing in C/C++ an algorithm that uses mathematic programming, heuristic and metaheuristic techniques. The adopted method obtains a solution that reduces eight to six steps performed by the company. In addition, a Simulated Annealing simulation improves 10.71% over an initial solution considered with the next closest item heuristic and 13.80% over an initial solution used in the exact method.
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