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.
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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|Item Type:||Journal Article|
|Additional Information:||For more information or for a copy of the item contact the author at firstname.lastname@example.org or see the publisher URL above.|
|Keywords:||resource constrained flow shop, mixed model assembly, heuristics|
|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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