بهینه سازی زمان بندی مسیر پایگاه داده ابر (مجازی) براساس ترکیب الگوریتم ژنیتکی و الگوریتم کلونی مورچه ای

For the cloud database route scheduling problem, this paper designed a cloud database route scheduling algorithm according to the dynamic combination of the genetic algorithm and ant colony algorithm. The initial solution got by the Genetic Algorithm was transformed into the pheromone initial value, which was needed by ant colony algorithm, then the optimal solution by the ant colony algorithm was obtained .Genetic control function was set up to control the opportunity of two algorithm's fusion .This paper proposed a reasonable algorithm,which could find the required database rapidly and effectively, reduce the dynamical load of cloud database routing, and improve the efficiency of cloud computing.

Cloud computing is a computer network model, which is combined by the traditional computer technology

In this paper, the author combines the dynamic combination of genetic algorithm and ant colony algorithm with the searching in cloud database, and good results are obtained. The bigger the nodes scale is, the better the algorithm performs. After comparing the fusion algorithm with the ant colony algorithm, the author obtains good simulation result. Next research direction ought to be how to optimize search performance, minimize the search time, lower search costs and compare with other routing algorithm