A Quantum Optimization Model for Dynamic Resource Allocation in Networks

Dynamic resource allocation optimization model will be required to be perfect, and swarm intelligence processing model of dealing with dynamic resource allocation optimization problem isproposed in this paper. By establishing a mathematical model of quantum game theory a game theory based on the pricemechanism 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 anapplication of bandwidth assignment in broad networks and use a bigger demand satisfaction and smaller demand deviationoptimization goal to verify the model performance. The results have shown that the model of game strategy based on the pricemechanism is effective and feasible. It not only satisfies morebenefits of both supply and demand, but also improves the utilization of resources

کلیدواژه ها:

Quantum model ، swarm intelligence optimization model ، dynamic resource allocation ، game strategy