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Speeding up the evaluation of evolutionary learning systems using GPGPUs
2010
Proceedings of the 12th annual conference on Genetic and evolutionary computation - GECCO '10
In this paper we introduce a method for computing fitness in evolutionary learning systems based on NVIDIA's massive parallel technology using the CUDA library. Both the match process of a population of classifiers against a training set and the computation of the fitness of each classifier from its matches have been parallelized. This method has been integrated within the BioHEL evolutionary learning system. The methodology presented in this paper can be easily extended to any evolutionary
doi:10.1145/1830483.1830672
dblp:conf/gecco/FrancoKB10
fatcat:umzgywfyfjbvxfgqu4ozinepvq