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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/40576
Title: 
An evolutionary algorithm for the one-dimensional cutting stock problem
Author(s): 
Institution: 
  • Universidade Estadual Paulista (UNESP)
  • Universidade Estadual de Maringá (UEM)
  • Universidade Federal de São Paulo (UNIFESP)
ISSN: 
0969-6016
Sponsorship: 
  • Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
  • Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
Abstract: 
This paper deals with the one-dimensional integer cutting stock problem, which consists of cutting a set of available objects in stock in order to produce ordered smaller items in such a way as to minimize the waste of material. The case in which there are various types of objects available in stock in limited quantities is studied. A new heuristic method based on the evolutionary algorithm concept is proposed to solve the problem. This heuristic is empirically analyzed by solving randomly generated instances and the results are compared with other methods from the literature.
Issue Date: 
1-Jan-2011
Citation: 
International Transactions In Operational Research. Malden: Wiley-blackwell, v. 18, n. 1, p. 115-127, 2011.
Time Duration: 
115-127
Publisher: 
Wiley-Blackwell
Keywords: 
  • integer optimization
  • cutting stock problem
  • evolutionary algorithm
Source: 
http://dx.doi.org/10.1111/j.1475-3995.2009.00760.x
URI: 
Access Rights: 
Acesso restrito
Type: 
outro
Source:
http://repositorio.unesp.br/handle/11449/40576
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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