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.
Citation countsare sourced monthly fromand citation databases.
These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.
Citations counts from theindexing service can be viewed at the linked Google Scholar™ search.
Full-text downloadsdisplays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.
|Item Type:||Journal Article|
|Additional Information:||For more information or for a copy of the item contact the author at email@example.com 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|
|Last Modified:||01 Mar 2012 08:15|
Repository Staff Only: item control page