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首页> 外文期刊>International Journal of Hybrid Intelligent Systems >A real fuel distribution problem solved by a two phase parallel algorithm that combines simulated annealing and route building heuristics
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A real fuel distribution problem solved by a two phase parallel algorithm that combines simulated annealing and route building heuristics

机译:通过结合模拟退火和路线构建启发式的两阶段并行算法解决了实际燃料分配问题

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摘要

This paper makes an extensive description of a real fuel distribution problem. It includes the description of the elements, process, constraints and difficulties of the real problem, as well as the description of the efficient system that has been designed to solve it. This system combines a global strategy working with the whole set of orders and vehicles - global optimisation - and a local one - local optimisation - that tries to improve parts of the global solution, concretely pairs of routes. Both parts are combination of Simulated Annealing and a Route Building Heuristic. The main objective is to obtain good quality results in little time with this aim, the system has been parallelised, and, as a consequence, the same quality results can be obtained dividing the time by the number of processors. Satisfactory average results were obtained: the experts in the company ratified that solutions for problems with 170 orders are obtained in a couple of minutes, and savings greater than 10% are obtained as well. On the other hand, in problems of Solomon's benchmark, average results are very good in distance, whereas in vehicles, they are under 10% worse than the optimal one. This experimentation has been always done by limiting the number of solutions explored to 32,000.
机译:本文对实际燃料分配问题进行了广泛的描述。它包括对实际问题的元素,过程,约束和困难的描述,以及为解决该问题而设计的有效系统的描述。该系统将全局策略与整组订单和车辆(全局优化)和局部策略(局部优化)结合在一起,以尝试改善全局解决方案的某些部分,尤其是成对的路线。这两个部分都是模拟退火和路径构建启发式的结合。主要目标是为此目的而在短时间内获得良好的质量结果,该系统已实现并行化,因此,将时间除以处理器数量可获得相同的质量结果。平均结果令人满意:该公司的专家批准在几分钟之内就可以解决170个订单的问题,并且还可以节省10%以上的费用。另一方面,在所罗门基准测试中,平均成绩在距离上非常好,而在车辆中,平均成绩比最佳成绩差10%以下。始终通过将探索的解决方案数量限制为32,000来完成此实验。

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