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Type: Artigo de periódico
Title: A Genetic Symbiotic Algorithm Applied To The One-dimensional Cutting Stock Problem
Author: Golfeto R.R.
Moretti A.C.
Neto L.L.S.
Abstract: This work presents a genetic symbiotic algorithm to minimize the number of objects and the setup in a one-dimensional cutting stock problem. The algorithm implemented can generate combinations of ordered lengths of stock (the cutting pattern) and, at the same time, the frequency of the cutting patterns, through a symbiotic process between two distinct populations, solutions and cutting patterns. Working with two objectives in the fitness function and with a symbiotic relationship between the two populations, we obtained positive results when compared with other methods described in the literature.
Rights: aberto
Identifier DOI: 
Date Issue: 2009
Appears in Collections:Unicamp - Artigos e Outros Documentos

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