Resource optimal configuration of cloud Enterprises in cloud Manufacturing

The limitations of existing methods for resource optimal configuration of cloud enterprises, in cloud manufacturing are analyzed, and based on the consideration of the correlation, similarity and apriority among resources under cloud manufacturing environments, a new method for resource optimal configuration is presented from the perspective of the operating cost of cloud enterprises. The method defines the decision variables of the problem establishes the problem's model, then, models the correlation, similarity and apriority among resources and applies the corresponding models to the objective function, and finally, adopts the genetic algorithm based on the real number matrix to solve the problem of resource optimal configuration. The algorithm can approach the best solution more quickly because of the use of crossover and mutation operation rules suitable for the real number matrix as well as the genetic strategy with pressure calibration. The experimental results indicate that the proposed method efficiency, showing its feasibility and effectiveness.