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Proposed new heuristic algorithm for travelling salesman problem based from minimum link

机译:基于最小链接的推销员问题提出了新的启发式算法

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Travelling salesman problem is a problem that has always sought the best solution every time, because the problem salesman problem yet finalized, there are two important variable that must be met to achieve a settlement of traveling salesman problem, namely the problem optimum level of distance and the optimal time, any algorithm that serves to solve this problem mostly encountered problems at an optimum level of distance, while the best algorithms for the optimal distances have optimal levels of bad time when it reaches the number of points that a lot. This paper will discuss a proposed new algorithm to solve traveling salesman problem, the target of this paper is where can produce an algorithm that has the optimal distance and time are valued above algorithm Ant Cololony and has a deviation rate maximum of 5% for the distance to be compared with bruteforce algorithm as the algorithm has the absolute optimum dabanding all existing algorithms.
机译:旅行推销员问题是一个问题一直在寻求每次最好的解决方案,因为问题推销员问题刚刚完成,有两个重要变量必须达到,实现旅行推销员问题的解决,即问题最佳的距离和距离最佳时间,任何用于解决此问题的算法大多遇到了最佳距离水平的问题,而最佳距离的最佳算法具有最佳的差距,达到很多的点数。本文将讨论一个拟议的新算法来解决旅行推销员问题,本文的目标是可以产生具有最佳距离和时间的算法的算法,其距离蚂蚁族核糖最多为5%的偏差率为5%与BruteForce算法进行比较,因为算法具有绝对的最佳DABAND,所有现有算法。

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