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首页> 外文期刊>Journal of Optimization in Industrial Engineering >New Heuristic Algorithms for Solving Single-Vehicle and Multi-Vehicle Generalized Traveling Salesman Problems (GTSP)
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New Heuristic Algorithms for Solving Single-Vehicle and Multi-Vehicle Generalized Traveling Salesman Problems (GTSP)

机译:求解单车和多车广义旅行商问题(GTSP)的新启发式算法

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Among numerous NP-hard problems, the Traveling Salesman Problem (TSP) has been one of the most explored, yet unknown one. Even a minor modification changes the problema€?s status, calling for a different solution. The Generalized Traveling Salesman Problem (GTSP)expands the TSP to a much more complicated form, replacing single nodes with a group or cluster of nodes, where the objective is to find a minimum-length tour containing exactly one node from each cluster. In this paper, a new heuristic method is presented for solving singlevehicle single-depot GTSP with the ability of controlling the search strategy from conservative to greedy and vice versa. A variant algorithm is then developed to accommodate the multi-vehicle single-depot condition, which is modified afterwards to accommodate the multi-vehicle multi-depot GTSP.
机译:在众多NP难题中,旅行推销员问题(TSP)一直是研究最多但仍未知的问题之一。即使是很小的修改也可以改变问题的状态,从而需要不同的解决方案。广义旅行推销员问题(GTSP)将TSP扩展为更为复杂的形式,将单个节点替换为一组或一组节点,其目的是找到一个最小长度的行程,其中每个群集中恰好包含一个节点。本文提出了一种新的启发式方法,用于解决单车单站式GTSP的问题,该方法能够将搜索策略从保守控制到贪婪控制,反之亦然。然后,开发一种变型算法以适应多车单站条件,之后对其进行修改以适应多车多站GTSP。

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