Use of genetic algorithms in operations management. Part II - Results.

De Montfort University Open Research Archive

Show simple item record

dc.contributor.author Stockton, David en
dc.contributor.author Quinn, L. (Liam) en
dc.contributor.author Khalil, R. A. (Riham A.) en
dc.date.accessioned 2008-11-24T14:08:00Z
dc.date.available 2008-11-24T14:08:00Z
dc.date.issued 2004-01-01 en
dc.identifier.citation Stockton, D.J., Quinn, L. and Khalil, R.A. (2004) Use of genetic algorithms in operations management. Part II - Results. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 218(3), pp. 329-343.
dc.identifier.issn 0954-4054 en
dc.identifier.issn 2041-2975 (Online)
dc.identifier.uri http://hdl.handle.net/2086/313
dc.description The insight gained into the relationship between genetic algorithm (GA) structure and optimisation performance, through the research reported in this paper, provided the knowledge to integrate GAs with discrete event simulation which formed the output from IMI EPSRC Project GR/N05871 ‘Responsive Design and Operation of Flexible Machining Lines’ rated by EPSRC as “Tending to Internationally Leading” where industrial partners included Neil_R_Smith@unipart.co.uk, Unipart Group Ltd and Nigel.Shires@preactor.com, Preactor International. The author was Principal Investigator for the project. en
dc.language.iso en en
dc.publisher Professional Engineering Publishing en
dc.subject RAE 2008
dc.subject UoA 28 Mechanical, Aeronautical and Manufacturing Engineering
dc.title Use of genetic algorithms in operations management. Part II - Results. en
dc.type Article en
dc.identifier.doi http://dx.doi.org/10.1243/095440504322984876 en
dc.researchgroup Manufacturing Research


Files in this item

This item appears in the following Collection(s)

Show simple item record