求解旅行商问题的GLS优化算法

Nourolhoda Alemi Neissi, M. Mazloom
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引用次数: 3

摘要

旅行商问题(TSP)是组合优化问题中的一种。寻找TSP的解决方案有许多方法。在本文中,我们将局部搜索启发式和遗传算法(GLS)相结合,这已被证明是一种有效的算法来寻找接近最优的TSP。我们还评估了我们的方法的运行时行为和适应度,并将其与其他方法进行了比较。结果表明,该算法能够在较短的时间内得到较好的解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
GLS Optimization Algorithm for Solving Travelling Salesman Problem
Travelling salesman problem (TSP) is well known as one of the combinatorial optimization problems. There are many approaches for finding solution to the TSP. In this paper we used combination of local search heuristics and genetic algorithm (GLS) that has been shown to be an efficient algorithm for finding near optimal to the TSP. We also evaluate the run time behavior and fitness of our approach and compare it with other methods. A reasonable result is obtained and the proposed algorithm is able to get to a better solution in less time.
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