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MODIFIED DOUBLING UP ALGORITHM FOR THE TRAVELING SALESMAN PROBLEM

机译:旅行商问题的改进的加倍算法

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This paper presents a modified Doubling up algorithm for the TravelingrnSalesperson Problem based on dynamic programming. The main difference of our modelrncompared with the previous ones lies in that we are concentrated on the most promisingrnsubpath from initial stage in order to decrease the computational effort. It can be applied inrnanother TSP version, but also offers much flexibility in taking advantage of special structures.rnIn this paper, we applied the Modified doubling up procedure to the special structure of TravelingrnSalesperson Problem. Preliminary numerical results show that this algorithm generates high-qualityrnsolutions compared to well-known heuristic methods, and that it can be a very promising alternative forrnfinding a solution to the TSP.
机译:本文提出了一种基于动态规划的TravelingrnSalesperson问题的加倍算法。与以前的模型相比,我们的模型的主要区别在于,我们专注于从初始阶段开始最有希望的子路径,以减少计算量。它可以在其他TSP版本中应用,但也可以利用特殊结构提供很大的灵活性。在本文中,我们对TravelingSalesperson问题的特殊结构应用了改进的加倍过程。初步的数值结果表明,与众所周知的启发式方法相比,该算法可生成高质量的解,并且它可能是寻找TSP解决方案的非常有希望的替代方法。

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