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One-dimensional cutting stock problem to minimize the number of different patterns. (English) Zbl 1012.90045

Summary: As the cost associated with the change of cutting patterns become more important in recent industry, we consider 1D-CSP in which the number of different cutting patterns is constrained within a given bound. The proposed approach is based on metaheuristics, and incorporates an adaptive pattern generation technique. According to our computational experiments, it is observed that the proposed algorithm provides comparable solutions to other existing heuristic approaches for 1D-CSP.

MSC:

90C27 Combinatorial optimization
90C59 Approximation methods and heuristics in mathematical programming
90B40 Search theory

Software:

CUTGEN1
Full Text: DOI

References:

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