Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/70413
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Type: Conference paper
Title: Comparison of different evolutionary algorithms for global supply chain optimisation and parameter analysis
Author: Ibrahimov, M.
Mohais, A.
Schellenberg, S.
Michalewicz, Z.
Citation: Proceedings of the 2011 IEEE Congress of Evolutionary Computation (CEC 2011), held in New Orleans, LA, USA, 5-8 June, 2011: pp. 2407-2414
Publisher: IEEE
Publisher Place: USA
Issue Date: 2011
Series/Report no.: IEEE Congress on Evolutionary Computation
ISBN: 9781424478354
Conference Name: IEEE Congress of Evolutionary Computation (2011 : New Orleans, USA)
Statement of
Responsibility: 
Maksud Ibrahimov, Arvind Mohais, Sven Schellenberg, 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 three approaches were used for global optimisation: a classical evolutionary approach, a cooperative coevolutionary approach and a coevolutionary approach with on the fly partner generation where the solution from the second component of the supply chain is generated deterministically based on the first one. The second approach produced higher quality solutions due to its use of communication between silos. Additional experiment was conducted to choose optimal species sizes.
Keywords: Evolutionary algorithms; cooperative coevolution; supply chain; global optimisation.
Rights: ©2011 IEEE
RMID: 0020115408
DOI: 10.1109/CEC.2011.5949915
Description (link): http://cec2011.org/
Published version: http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=5936494
Appears in Collections:Computer Science publications

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