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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Abstract
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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| ID Code: | 10669 |
|---|---|
| Item Type: | Journal Article |
| 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 |
| Last Modified: | 01 Mar 2012 08:15 |
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