Abstract
The Covering Tour Problem (CTP) is a generalization of the Traveling Salesman Problem (TSP) which has several practical applications in the area of distribution network design. Given an undirected graph, the problem asks to identify a minimum cost cycle passing through a subset of vertices such that every vertex not in the cycle lies within a given distance from at least one node in the cycle. Being a generalization of the TSP, CTP is NP-hard. This paper presents three original Scatter Search heuristic algorithms for the CTP. Computational results are reported.
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Baldacci, R., Boschetti, M.A., Maniezzo, V., Zamboni, M. (2005). Scatter Search Methods for the Covering Tour Problem. In: Sharda, R., Voß, S., Rego, C., Alidaee, B. (eds) Metaheuristic Optimization via Memory and Evolution. Operations Research/Computer Science Interfaces Series, vol 30. Springer, Boston, MA. https://doi.org/10.1007/0-387-23667-8_3
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DOI: https://doi.org/10.1007/0-387-23667-8_3
Publisher Name: Springer, Boston, MA
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