Abstract
In this paper we present a new problem that arises when parts are cut from large plates of metal or glass. We call this problem the plate-cutting traveling salesman problem (P-TSP) because it requires the determination of a minimum-length tour such that exactly one point must be visited on each of a number of given polygons. We present a mathematical formulation of the problem and show that the problem is a variation of the well-known traveling salesman problem. We examine the problem when the order in which parts are to be cut is known. For this problem we present a Lagrangean decomposition of the problem and develop lower bounds and heuristics based on this decomposition. Computational testing on problems with 5--40 polygons reveals that the heuristics give fairly good solutions. When the order in which polygons are to be cut is known, the heuristic solutions are within 3--4% of the optimal. The decomposition-based heuristics are embedded in a variable r-opt heuristic for the overall problem.
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HOEFT , J., PALEKAR , U.S. Heuristics for the plate-cutting traveling salesman problem. IIE Transactions 29, 719–731 (1997). https://doi.org/10.1023/A:1018582320737
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DOI: https://doi.org/10.1023/A:1018582320737