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|Title:||Comparison of different evolutionary algorithms for global supply chain optimisation and parameter analysis|
|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|
|Series/Report no.:||IEEE Congress on Evolutionary Computation|
|Conference Name:||IEEE Congress of Evolutionary Computation (2011 : New Orleans, USA)|
|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.|
|Appears in Collections:||Computer Science publications|
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