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Speed-up techniques for solving large-scale biobjective TSP

机译:解决大规模双目标TSP的加速技术

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摘要

In this paper, we present the Two-Phase Pareto Local Search (2ppls) method with speed-up techniques for the heuristic resolution of the biobjective traveling salesman problem. The 2ppls method is a state-of-the-art method for this problem. However, because of its running time that strongly grows with the instances size, the method can be hardly applied to instances with more than 200 cities. We thus adapt some speed-up techniques used in single-objective optimization to the biobjective case. The proposed method is able to solve instances with up to 1000 cities in a reasonable time with no, or very small, reduction of the quality of the generated approximations.
机译:在本文中,我们提出了具有加速技术的两阶段帕累托局部搜索(2ppls)方法,用于启发式解决双目标旅行商问题。 2ppls方法是解决此问题的最新方法。但是,由于其运行时间会随着实例大小的增长而大大增加,因此该方法几乎无法应用于拥有200多个城市的实例。因此,我们将一些用于单目标优化的提速技术应用于双目标情况。所提出的方法能够在合理的时间内解决多达1000个城市的实例,而不会降低生成的近似值的质量,也不会降低生成的近似值的质量。

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