The evolutionary optimization of system of systems based on Agent model

In recent years, the concept of system of systems (SoS) has emerged as a new approach to solving complex problems. Since every system evolves, the evolution has become a significant characteristic of SoS. The Agent, a self-adaptive entity, which has the perception, adaption and reaction to the changes of the environment, operates in a dynamic environment. Consequently, a method to research the evolutionary optimization of SoS based on Agent model is proposed. Since each Agent is optimized autonomously, the Agents can adopt different optimization method according to their characteristics. This is a method called “from bottom to top”, which is suitable for solving the problem of large complex systems. Finally, the conclusions are given. The evolutionary optimization of SoS based on Agent model is feasible and effective, which can be deeply researched in the future.