Cutting Path Optimization Using Tabu Search

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This paper deals with generating paths for cutting irregular parts nested on a metal sheet. The objective is to minimize the total non-cutting time for the cutter head starting at a known location, cutting all the required elements and returning to the known location. In contrast to most literature on this topic, a part does not have to be cut at once. If this reduces the total non-cutting time, it is possible to cut a number of elements on a given part, then cut other parts and then return later to finish cutting the given part. The problem is modeled as a generalized traveling salesperson problem with special precedence constraints. An initial feasible solution is generated and improved by local moves embedded in a tabu search framework. The proposed algorithm shows promising results in comparison with a commercial software package on a limited set of test cases.

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Periodical:

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Edited by:

J.R. Duflou, R. Clarke, M. Merklein, F. Micari, B. Shirvani and K. Kellens

Pages:

739-748

DOI:

10.4028/www.scientific.net/KEM.473.739

Citation:

R. Dewil et al., "Cutting Path Optimization Using Tabu Search", Key Engineering Materials, Vol. 473, pp. 739-748, 2011

Online since:

March 2011

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$35.00

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