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|Title:||Comparison of cooperative and classical evolutionary algorithms for global supply chain optimisation|
|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|
|Series/Report no.:||IEEE Congress on Evolutionary Computation|
|Conference Name:||IEEE World Congress on Computational Intelligence (2010 : Barcelona, Spain)|
|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.|
|Appears in Collections:||Computer Science publications|
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