%0 Journal Article
	%A Hidehiko Okada and  Yuki Fujii
	%D 2012
	%J International Journal of Computer and Information Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 65, 2012
	%T Comparison of Evolutionary Algorithms and their Hybrids Applied to MarioAI
	%U https://publications.waset.org/pdf/13239
	%V 65
	%X Researchers have been applying artificial/ computational intelligence (AI/CI) methods to computer games. In this research field, further researchesare required to compare AI/CI methods with respect to each game application. In thispaper, we report our experimental result on the comparison of evolution strategy, genetic algorithm and their hybrids, applied to evolving controller agents for MarioAI. GA revealed its advantage in our experiment, whereas the expected ability of ES in exploiting (fine-tuning) solutions was not clearly observed. The blend crossover operator and the mutation operator of GA might contribute well to explore the vast search space.

	%P 711 - 714