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A Hybrid Variation Harmony Search Algorithm for the Team Orienteering Problem with Capacity Limitations

机译:具有容量限制的团队定向问题的混合变异和谐搜索算法

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This paper addresses a new optimization method for a variant of the category of orienteering problems (OP), which is well-known as the capacitated team orienteering problem (CTOP). The main objective of CTOP focuses on the maximization of the total collected profit from a set of candidate nodes or customers by taking into account the limitations of vehicle capacity and time upper boundary of a constructed route. To solve CTOP, we present a new optimization algorithm called the Similarity Hybrid Harmony Search. This methodology includes an innovative "similarity process" technique, which takes advantage the most profitable nodes/customers during the algorithmic procedure aiming to extend the diversification in the solution area. The experimental tests were conducted in the most popular set of instances and the obtained results are compared with most competitive algorithms in the literature.
机译:本文为定向问题(OP)类别的变体进行了新的优化方法,该方法是众所周知的型为导向问题(CTOP)。 CTOP的主要目标专注于通过考虑到建造路线的车辆能力和时间上边界的局限性,从一组候选节点或客户中最大化收集的利润。要解决CTOP,我们提出了一种新的优化算法,称为相似性混合和声搜索。该方法包括创新的“相似性过程”技术,该技术在算法过程中利用最有利可图的节点/客户,旨在扩展解决方案区域中的多样化。实验试验在最受欢迎的情况下进行,并将获得的结果与文献中的大多数竞争性算法进行了比较。

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