基于进化算法的VRPTW分辨率实验网格通信方案

A. Rodríguez-León, M. Cruz-Chávez, Rafael Rivera-López, É. Ávila-Melgar, Fredy Juárez-Pérez, M. Cruz-Rosales
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引用次数: 2

摘要

在这项工作中,定义了一个两个阶段的方案,用于将一个并行遗传算法(PGA)的人口段发送到一个名为“Tarántula miniGrid”的实验网格的节点。描述了用于连接集群和配置Tarántula迷你网格的技术,并讨论了这些集群之间通信延迟的影响以及加速行为。该算法用于求解带时间窗的车辆路径问题实例。结果表明,该通信方案提高了网格环境下PGA的效率,对VRPTW的求解空间有了更大的探索和利用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Communication Scheme for an Experimental Grid in the Resolution of VRPTW Using an Evolutionary Algorithm
In this work is defined a scheme of two stages for sending population segments of one Parallel Genetic Algorithm (PGA) to the nodes of an experimental grid called “Tarántula miniGrid”. The technique used to link the clusters and to configure the Tarántula mini Grid is described and the effects of latency in the communications between these clusters and the behavior of the speedup are discussed. The PGA is used for solving instances of the Vehicle Routing Problem with Time Windows (VRPTW). Results of this approach show that this communication scheme increases the efficiency of PGA in a grid environment and produces greater exploration and exploitation of the solution space of VRPTW.
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