Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/63990
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DC Field | Value | Language |
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dc.contributor.author | Ibrahimov, M. | - |
dc.contributor.author | Wagner, N. | - |
dc.contributor.author | Mohais, A. | - |
dc.contributor.author | Schellenberg, S. | - |
dc.contributor.author | Michalewicz, Z. | - |
dc.date.issued | 2010 | - |
dc.identifier.citation | Proceedings of the IEEE Congress on Evolutionary Computation, part of the 2010 IEEE World Congress on Computational Intelligence, held in Barcelona, Spain 18-23 July 2010: pp.1-8 | - |
dc.identifier.isbn | 9781424481262 | - |
dc.identifier.uri | http://hdl.handle.net/2440/63990 | - |
dc.description.abstract | This paper discusses global optimisation from a business perspective in the context of the supply chain operations. A two-silo supply chain was built for experimentation and two approaches were used for global optimisation: a classical evolutionary approach and a cooperative coevolutionary approach. The latter approach produced higher quality solutions due to its use of communication between silos. Additionally, a second problem was presented involving an existing Australian multi-factory sheet steel business. | - |
dc.description.statementofresponsibility | Maksud Ibrahimov, Neal Wagner, Arvind Mohais, Sven Schellenberg and Zbigniew Michalewicz | - |
dc.language.iso | en | - |
dc.publisher | IEEE | - |
dc.relation.ispartofseries | IEEE Congress on Evolutionary Computation | - |
dc.rights | ©2010 IEEE | - |
dc.source.uri | http://dx.doi.org/10.1109/cec.2010.5586150 | - |
dc.title | Comparison of cooperative and classical evolutionary algorithms for global supply chain optimisation | - |
dc.type | Conference paper | - |
dc.contributor.conference | IEEE World Congress on Computational Intelligence (2010 : Barcelona, Spain) | - |
dc.identifier.doi | 10.1109/CEC.2010.5586150 | - |
dc.publisher.place | USA | - |
dc.relation.grant | http://purl.org/au-research/grants/arc/DP0985723 | - |
dc.relation.grant | http://purl.org/au-research/grants/arc/DP0985723 | - |
pubs.publication-status | Published | - |
Appears in Collections: | Aurora harvest 5 Computer Science publications |
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