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- W2091211643 abstract "This paper discusses a one-dimensional cutting stock problem in which lumber is cut in bundles. The nature of this problem is such that the traditional approaches of linear programming with an integer round-up procedure or sequential heuristics are not effective. A good solution to this problem must consider trim loss, stock usage and ending inventory levels. A genetic search algorithm is proposed and results compared to optimal solutions for an integer programming formulation of the problem." @default.
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- W2091211643 title "A genetic algorithm solution for one-dimensional bundled stock cutting" @default.
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- W2091211643 doi "https://doi.org/10.1016/s0377-2217(98)00244-6" @default.
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