Publicação: A genetic algorithm for the one-dimensional cutting stock problem with setups
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Data
2014-05-01
Orientador
Coorientador
Pós-graduação
Curso de graduação
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Título de Volume
Editor
Sociedade Brasileira de Pesquisa Operacional
Tipo
Artigo
Direito de acesso
Acesso aberto
Resumo
This paper investigates the one-dimensional cutting stock problem considering two conflicting objective functions: minimization of both the number of objects and the number of different cutting patterns used. A new heuristic method based on the concepts of genetic algorithms is proposed to solve the problem. This heuristic is empirically analyzed by solving randomly generated instances and also practical instances from a chemical-fiber company. The computational results show that the method is efficient and obtains positive results when compared to other methods from the literature.
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Inglês
Como citar
Pesquisa Operacional. Sociedade Brasileira de Pesquisa Operacional, v. 34, n. 2, p. 165-187, 2014.
