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Performance Analysis of a New Genetic Crossover for the Traveling Salesman Problem

机译:旅行推销员问题的新基因交叉性能分析

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摘要

In this paper, we propose an efficient and pow- erful crossoveroperator in the genetic algorithm for solving the traveling salesmanproblem (TSP). Our proposed crossover is called the complete subtourexchange crossover (CSEX), and in- herits as many good subtours aspossible because they are worth preserving for descendants. Beforegenerating the descendants, a prerequisite for the CSEX is that itenumerates all common subtours, which consist of the same set in apair of subtours on the given two tours of n cities.
机译:在本文中,我们提出了一种高效且有力的遗传算法来解决旅行推销员问题(TSP)的交叉算子。我们提议的交叉被称为完整的子旅游交换交叉(CSEX),并尽可能多地继承好的子旅游,因为它们值得为后代保留。在生成后代之前,CSEX的先决条件是枚举所有公共子行程,这些子行程由给定的n个城市的两个行程中的一对子行程中的相同集合组成。

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