Title :
Comparison of cooperative and classical evolutionary algorithms for global supply chain optimisation
Author :
Ibrahimov, Maksud ; Wagner, Neal ; Mohais, Arvind ; Schellenberg, Sven ; Michalewicz, Zbigniew
Author_Institution :
Sch. of Comput. Sci., Univ. of Adelaide, Adelaide, SA, Australia
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.
Keywords :
evolutionary computation; optimisation; supply chain management; Australian multifactory sheet steel business; business perspective; classical evolutionary algorithm; cooperative evolutionary algorithm; global supply chain optimisation; silo communication; supply chain operation; two-silo supply chain; Biological cells; Biological system modeling; Job shop scheduling; Optimization; Supply chains;
Conference_Titel :
Evolutionary Computation (CEC), 2010 IEEE Congress on
Conference_Location :
Barcelona
Print_ISBN :
978-1-4244-6909-3
DOI :
10.1109/CEC.2010.5586150