Evolutionary algorithms for resource constrained non serial mixed flowshops

Burdett, Robert L. & Kozan, Erhan (2003) Evolutionary algorithms for resource constrained non serial mixed flowshops. The International Journal of Computational Intelligence and Applications, 3(4), pp. 411-435.

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In this paper the resource-constrained flow shop (RCF) problem is addressed. A number of realistic extensions are incorporated, including non-serial precedence requirements, mixed flow shop situations, and the distribution of the human workforce among a number of pre-determined groups. The RCF is then solved by meta-heuristics, primarily of the evolutionary type. An extensive numerical investigation, including a case study of a particular industrial situation, details the implementation and execution of the heuristics, and the efficiency of the proposed algorithms.

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69 since deposited on 12 Nov 2007
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ID Code: 10669
Item Type: Journal Article
Refereed: Yes
Additional Information: For more information or for a copy of the item contact the author at r.burdett@qut.edu.au or see the publisher URL above.
Keywords: resource constrained flow shop, mixed model assembly, heuristics
DOI: 10.1142/S1469026803001105
ISSN: 1469-0268
Subjects: Australian and New Zealand Standard Research Classification > MATHEMATICAL SCIENCES (010000) > APPLIED MATHEMATICS (010200) > Operations Research (010206)
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Copyright Owner: Copyright 2003 World Scientific Publishing
Copyright Statement: Electronic version of an article published as [International Journal of Computational Intelligence and Applications 3(4):pp. 411-435.]
Deposited On: 12 Nov 2007 00:00
Last Modified: 29 Feb 2012 22:15

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