Research And Implementation Of Intelligent Parameter Optimization System Based On Distributed Simulation

Complex system modeling is the basis of more and more complex engineering systems,socioeconomic systems,military combat systems,artificial life systems and other research.It has very important significance and extensive applications in social,economic,and national defense The future is a top priority in the field of simulation science.However,complex systems have problems such as difficulty in modeling,strong correlation between entities,too many system parameters,parameter tuning requires a lot of prior knowledge and experience,and parameter adjustment takes too long.Parameter optimization is difficult.Aiming at the above problems,this paper proposes an intelligent optimization framework based on the combination of distributed simulation and optimization algorithms,establishes complex system simulation schemes through intelligent design,and uses intelligent optimization algorithms to optimize complex system model parameters.The distributed and partitioned parallel simulation structure is used to improve the simulation parameter optimization speed,so as to solve many problems in complex system modeling and model parameter optimization.