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Analysis of fitness function of genetic algorithm for road traffic network division

机译:遗传算法在道路交通网络划分中的适应度分析

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In this paper, the analysis of the fitness function of a genetic algorithm is discussed. This genetic algorithm is used by a method for the road traffic network division. The division of the road traffic network into a number of sub-networks is a part of necessary preparations for a distributed road traffic simulation. The fitness function consists of two parts reflecting two important issues of the road traffic network division - the load-balancing of the resulting sub-networks and the minimization of the number of divided traffic lanes. During the optimization and refactoring of the division method, it was discovered that the fitness function of the genetic algorithm is flawed, but gives better results than a new (repaired) fitness function. Hence, the working of the original fitness function was analyzed and the new fitness function was adjusted to give similar or better results than the original fitness function.
机译:本文讨论了一种遗传算法的适应度函数的分析。这种遗传算法被用于道路交通网络划分的一种方法。将道路交通网络划分为多个子网络是进行分布式道路交通模拟的必要准备工作的一部分。适应度函数由两部分组成,反映了道路交通网络划分的两个重要问题-生成的子网的负载平衡和最小化划分的行车线数量。在除法的优化和重构过程中,发现遗传算法的适应度函数存在缺陷,但是比新的(修复后的)适应度函数提供更好的结果。因此,分析了原始适应度函数的工作,并对新适应度函数进行了调整,以得出与原始适应度函数相似或更好的结果。

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