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Optimisation of the Beer Distribution Game with complex customer demand patterns
2009
2009 IEEE Congress on Evolutionary Computation
This paper examines a simulation of the Beer Distribution Game and a number of optimisation approaches to this game. This well known game was developed at MIT in the 1960s and has been widely used to educate graduate students and business managers on the dynamics of supply chains. This game offers a complex simulation environment involving multidimensional constrained parameters. In this research we have examined a traditional genetic algorithm approach to optimising this game, while also for
doi:10.1109/cec.2009.4983273
dblp:conf/cec/LiuHD09
fatcat:nusqtvqchbfrxnzgmstdlb3yim