Document Type : Research Paper

**Authors**

Department of Industrial and Systems Engineering, Isfahan University of Technology, 84156-83111 Isfahan, Iran.

**Abstract**

Covering Tour Problem (CTP) is the generalized form of Traveling Salesman Problem (TSP), which has found different applications in the designing of distribution networks, disaster relief, and transportation routing. The purpose of this problem is to determine the Hamiltoniancyclewiththe lowest costusinga subset of all the nodes, such that the other nodes would be in a distance shorter than the pre-specified one, from at least one visited node. In this paper, two new heuristic algorithms called MDMC and AGENI are offered to solve CTP. In order to assess the performance of the proposed algorithms in small scale, several test problems are accurately solved and the results compared with those from the proposed heuristic algorithms. Also, in large scales, the results of each of proposed algorithms are compared with the three heuristic algorithms existing in the literature. Finally, the effect of neighborhood searcheson the performance of the proposed algorithms will be investigated. The results, show that the performance of the proposed algorithms in small and large scales is appropriate.

**Keywords**

**Main Subjects**

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salesman problem," INFORMS Journal on Computing, vol. 24, pp. 534-553.

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covering tour problem," Computers & Operations Research, vol. 27, pp. 29-42.

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Health Care Facilities in SuhumDistrict, Ghama," Journal of Regional Science, vol. 38, pp. 621-638.

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Computers & operations research, vol. 34, pp. 1929-1942.

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Networks, 64(3), 160-168.

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Applied Mathematical Modelling, vol. 38, pp. 3945-3957.

Salari M., Reihaneh M., and Sabbagh M. S.,(2015). "Combining ant colony optimization algorithm

and dynamic programming technique for solving the covering salesman problem," Computers &

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Springer, pp. 167-187.

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salesman problem," Computers & Operations Research, vol. 39, pp. 2594-2602.

Schilling D. A., Jayaraman V., and Barkhi R., ( 1993). "A REVIEW OF COVERING PROBLEMS

IN FACILITY LOCATION," Computers & Operations Research.

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