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https://hdl.handle.net/2440/63990
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Type: | Conference paper |
Title: | Comparison of cooperative and classical evolutionary algorithms for global supply chain optimisation |
Author: | Ibrahimov, M. Wagner, N. Mohais, A. Schellenberg, S. Michalewicz, Z. |
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 |
Publisher: | IEEE |
Publisher Place: | USA |
Issue Date: | 2010 |
Series/Report no.: | IEEE Congress on Evolutionary Computation |
ISBN: | 9781424481262 |
Conference Name: | IEEE World Congress on Computational Intelligence (2010 : Barcelona, Spain) |
Statement of Responsibility: | Maksud Ibrahimov, Neal Wagner, Arvind Mohais, Sven Schellenberg and Zbigniew Michalewicz |
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. |
Rights: | ©2010 IEEE |
DOI: | 10.1109/CEC.2010.5586150 |
Grant ID: | http://purl.org/au-research/grants/arc/DP0985723 http://purl.org/au-research/grants/arc/DP0985723 |
Published version: | http://dx.doi.org/10.1109/cec.2010.5586150 |
Appears in Collections: | Aurora harvest 5 Computer Science publications |
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