Recent advances in modelling and optimizing complex systems based on intelligent algorithms

The paper tries to understand recent research advances in intelligent modeling and optimization of complex systems. Intelligent models have the capability of self-adapting to the changing environment, which may generate effective solutions for complex dynamic systems. Some intelligent algorithms are reviewed in this paper to give references for interested researchers on how they serve system modeling and optimization. Firstly, critical techniques and significant events in the development process of complex systems are reviewed. Then classical practical applications of modeling and optimizing complex systems over recent years based on several representative intelligent algorithms are introduced and analyzed. Thirdly, the methodology of modeling and optimizing complex systems based on these algorithms are analyzed and compared. Finally, this paper concludes and prospects relevant future work.