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

Christian, Wahid Miftahul Ashari, N. Syambas
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Abstract

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.
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提出了一种新的基于最小链路的旅行商问题的启发式算法
旅行商问题是一个每次都在寻求最优解的问题,因为旅行商问题尚未最终确定,要实现旅行商问题的解决,必须满足两个重要的变量,即问题的最优距离水平和最优时间,任何用于解决该问题的算法大多遇到最优距离水平的问题。而对于最优距离的最佳算法,当它达到很多点的数量时,坏时间的最佳水平。本文将讨论一种新的求解旅行商问题的算法,本文的目标是在哪里可以产生一种算法,该算法具有最优的距离和时间值高于算法蚁群,并且距离偏差率最大为5%,可以与暴力算法进行比较,因为该算法具有绝对的最优性,超越所有现有算法。
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