Evolutionary stability affected by energy flow in the bio-network architecture

Inspired by the systemic emergence and self-evolution of the neuroendocrine-immune system, we have developed a bio-network architecture and built a novel bio-network platform for complex services on next-generation Internet. Since stability analysis is an important issue in complex networks, we discuss the evolutionary stability of the bio-network architecture based on energy design. We build a stability model of energy flow in the bio-network system. Considering that the stability model of energy flow is similar to the common market equilibrium model, we propose the measurement of energy entropy and global stability based on the Nash equilibrium game. The reinforcement learning of stability strategy based on the improved differential evolution algorithm is applied to solve the problem with global stability optimization. The simulation results of energy stability are provided to validate the proposed method.