A Game Coordination Optimization Algorithm

Abstract

Abstract In order to solve the problems of information flow and traffic jams, this paper proposes a game coordination optimization algorithm, and gives a coordination optimization model for the communication signal area. A game coordination strategy algorithm is studied using multi-agent technology. This model can make all local area networks and routing ports fully cooperate, so that the communication signals of a certain area can be coordinated and optimized. At the same time, the application of the game coordination optimization algorithm in power grid intelligent communication, control and resource optimization is given. By comparing the communication effect under different coordination probabilities, the simulation results show that the communication effect under high coordination probability has obvious advantages such as high fidelity, low distortion, fast communication speed, and small communication volume. The development of these studies can in turn accelerate the application of game and agent algorithms in various fields.