Ant Colony Optimization for Time-Dependent Travelling Salesman Problem

Petra Tomanová, Vladimír Holý
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引用次数: 4

Abstract

In this paper, the time-dependent travelling salesman problem (TDTSP) is reviewed and the heuristic based on ant colony optimization for solving the TDTSP is proposed. The TDTSP is an extension of the classical travelling salesman problem in which the edge costs depend on the order in which the edges are visited. This extension is even more computationally complex than the original problem and therefore a heuristic must be used in order to get a solution close to the optimal one for larger-scale problems. We combine the ant colony optimization algorithm with a modified local search and apply the heuristic to a simplified version of the flying tourist problem.
时变旅行商问题的蚁群优化
本文对时变旅行商问题(TDTSP)进行了综述,提出了一种基于蚁群优化的求解TDTSP的启发式算法。TDTSP是经典旅行商问题的扩展,其中边的代价取决于访问边的顺序。这种扩展甚至比原始问题的计算更复杂,因此必须使用启发式,以便获得接近于大规模问题的最佳解决方案。我们将蚁群优化算法与改进的局部搜索算法相结合,并将启发式算法应用于一个简化版的飞行游客问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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