Research on Big Data Processing Model of Multi Objective Genetic Algorithm Based on Static Bayesian Game in Cloud Computing
In order to improve the quickness and accuracy in big data processing, a processing model of multi objective genetic algorithm based on static Bayesian game in cloud computing is proposed in this paper. Based on analyzing the static Bayesian game model, we proposed a novel multi-objective
genetic algorithm optimization. After different difficult tests problems, the proposed SBG-MOGA was able to maintain a better distribution than NSGA-II, and is approximate to NSGA-II in convergence in the obtained no dominated front.
Keywords: Big Data; Cloud Computing; Multi Objective Genetic Algorithm; Processing Model; Static Bayesian Game
Document Type: Research Article
Affiliations: ChongQing Industry Polytechnic College, ChongQing 401120, China
Publication date: 01 December 2016
- Journal of Computational and Theoretical Nanoscience is an international peer-reviewed journal with a wide-ranging coverage, consolidates research activities in all aspects of computational and theoretical nanoscience into a single reference source. This journal offers scientists and engineers peer-reviewed research papers in all aspects of computational and theoretical nanoscience and nanotechnology in chemistry, physics, materials science, engineering and biology to publish original full papers and timely state-of-the-art reviews and short communications encompassing the fundamental and applied research.
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