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- W759463392 abstract "This work deals with the one-dimensional integer cutting stock problem, which consist of cutting a set of available objects in stock in order to produce ordered smaller items in such a way as to optimize one or more objective functions. On the case studied there is just one type of object in stock available in sufficient quantity to satisfy the demand. Three adaptations of a heuristic method based on the multi-objective evolutionary algorithms concepts are proposed to solve the problem considering two conflicting objective functions, the minimization of the number of objects to be cut and the minimization of the number of different cutting patterns. The adaptations consider the ideas from the Weighted Sum method, the Vector Evaluated Genetic Algorithm and the Multiple Objective Genetic Algorithm. These heuristics are analyzed by solving randomly generated instances." @default.
- W759463392 created "2016-06-24" @default.
- W759463392 creator A5046810620 @default.
- W759463392 date "2009-01-30" @default.
- W759463392 modified "2023-09-23" @default.
- W759463392 title "Uma abordagem multiobjetivo para o problema de corte de estoque unidimensional" @default.
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