Design of Intelligent Optimization Simulation Framework for Large Sample Based on Distributed Simulation

The key factors that affect the Joint Operation system effectiveness are difficult, because the factors in Joint operation system are large in amount and have complex relationship Based on HLA Distributed Simulation Architecture, an intelligent optimization method for large sample simulation is proposed. A multi simulation task mechanism was adopted for the concurrent operation of large sample schemas. On this basis, multi parameters intelligent optimization for the simulation results of large sample is carried out, to support the evaluation of new equipment’s ability and the whole system ability.