An Agent Simulation Heuristics for Snowplowing Problems

Satoshi Takahashi, T. Matsuo
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Abstract

This paper proposes a heuristics method for huge task allocation problem over snowblower tasks. It is difficult to solve the huge task allocation problem. A snowblower problem includes a task allocation problem and agents scheduling problem. Given a directed graph as city map, we should consider some arc-disjoint partitions of the graph as allocation. A graph partition problem is a fundamental problem of combinatorics, there are some effective algorithms for the problem. However, in the case that we consider the task allocation and scheduling, the graph partition problem is too difficult. Because of this fact, we employ an agent simulation for solving the snowblower problem.
除雪问题的Agent模拟启发式方法
本文提出了一种启发式算法,用于解决吹雪机任务的海量任务分配问题。庞大的任务分配问题很难解决。除雪机问题包括任务分配问题和代理调度问题。给定一个有向图作为城市地图,我们应该考虑图的一些弧不相交的分区作为分配。图划分问题是组合学的一个基本问题,目前已有一些有效的算法。然而,在考虑任务分配和调度的情况下,图划分问题过于困难。由于这一事实,我们采用代理模拟来解决吹雪机问题。
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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