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Or., I. (1967) Traveling Salesman-Type Combinatorial Problems and Their Relation to the Logistics of Regional Blood Banking. Ph.D. Thesis, Northwestern University, Illinois.

has been cited by the following article:

  • TITLE: Covering Salesman Problem with Nodes and Segments

    AUTHORS: Takafumi Matsuura, Takayuki Kimura

    KEYWORDS: Covering Salesman Problem, Covering Salesman Problem with Nodes and Segments, Combinatorial Optimization Problem, Local Search Method

    JOURNAL NAME: American Journal of Operations Research, Vol.7 No.4, July 20, 2017

    ABSTRACT: In the Covering Salesman Problem (CSP), a distribution of nodes is provided, and the objective is to identify the shortest-length tour of a subset of all given nodes such that each node is not on the tour which is within a radius r of any node on the tour. In this paper, we define a new covering problem called the CSP with Nodes and Segments (CSPNS). The main difference between the CSP and the CSPNS is that in the CSPNS, not only the nodes on the tour but also the segments on the tour can cover the nodes not on the tour. We formulated the CSPNS via integer programming and found an optimal solution by using a general-purpose mixed-integer program solver. Benchmark instances of the CSPNS were generated by DIMACS, which is one of the benchmark problems of the Traveling Salesman Problem. Optimal solutions could not be obtained in a reasonable time frame for a large size of instances. Thus, in this study, we developed a simple heuristic method to find good near-optimal solutions to the CSPNS. The proposed heuristic method quickly finds good solutions.