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Research of Access to Cloud Database Based on SVM-ACO Algorithm
2016
International Journal of Database Theory and Application
How to improve the accessing efficiency of database based on cloud computing has always been a research direction of cloud computing and this paper combines genetic algorithm, ant colony optimization as well as support vector machine to firstly initialize the ant colony optimization and improve the pheromone so as to make the advanced information effectively avoid algorithm local convergence. What's more, the collecting result can be processed via support vector machine and meanwhile the
doi:10.14257/ijdta.2016.9.4.04
fatcat:4vyrnekzh5cmng3mrvfymnsdnu