A Quantum Optimization Model for Dynamic Resource Allocation in Networks

Abstract

Dynamic resource allocation optimization model will be required to be perfect, and swarm intelligence processing model of dealing with dynamic resource allocation optimization problem is proposed in this paper. By establishing a mathematical model of quantum game theory a game theory based on the price mechanism is explored. Further, through finding the group behavior in swarm intelligence prototype and the inherent mechanisms of self-organization and cooperative behavior, we research the autonomy, equilibrium and stability of the model. Finally, we define the demand deviation function for an application of bandwidth assignment in broad networks and use a bigger demand satisfaction and smaller demand deviation optimization goal to verify the model performance. The results have shown that the model of game strategy based on the price mechanism is effective and feasible. It not only satisfies more benefits of both supply and demand, but also improves the utilization of resources.