The Tribute Algorithm: Calculation of Evolutionary Goal Optimization Considering Cooperative Regional Communities

This paper proposes an evolutionary algorithm for regional communities based on cooperation mechanisms, taking into account the objective evolutionary goals of different countries and regions in historical processes, combined with the complex diplomatic relations and deep trade cooperation needs. We first represent regional cooperation as a complex system based on multiple intelligences; then, to avoid the algorithm from maturing prematurely and falling into local optimal solutions, we introduce an elite exploration mechanism to promote regional development; secondly, we propose a cooperative discriminative mechanism based on trust relationship; finally, we verify the effectiveness of the algorithm using research cases with fast solution speed and high solution accuracy. The experimental results show that, unlike the law of the jungle of the weak and the strong, the mutually beneficial open strategy is more conducive to the coevolution of regional individuals. This paper can better represent the complex network of relationships among multi-intelligent nodes and provide a reference for intelligent decision-making of complex systems.