Using GA-based simulation to cooperative climate strategy of climate game problem

The cooperative game of global temperature lacks automatist and emotional jamming. To address this issue, a decision-making method is developed based on Milinski´s non-cooperative game experiments. An optimal evolution model of individual and overall of agents will be discussed. By coordinating the balance between overall and individual interests through the iteration of Genetic Algorithm (GA), this model will complete the unity of the overall and individual interests. Simulation experiments are performed by designing a nonlinear function. It showed that the proposed algorithm in this chapter achieves the expected effect with fast response ability. The overall interests and personal interests are consistent thus the rational agent non-cooperation decision-making process is simulated.