Research On Optimization Method Of Joint Operation Plan Based On Cloud Simulation

The purpose of joint operation plan optimization is to analyze the degree of completion of joint operation objectives,determine the final effect of joint operation,select a better joint operation plan,and provide suggestions for the commanders'decisions.This paper first analyzes the elements of joint operation scheme,explains the composition of joint operation scheme,demonstrates the important role of joint operation simulation system in the optimization of joint operation scheme,and analyzes the requirements for comparison and selection of joint operation scheme.This paper researches check rule detection and optimal individual feedback technology and become an improved genetic algorithm for joint operation scheme optimization,which can remove the poor joint operation scheme and record the optimal individual in the genetic process,and regulates the mutation rate of the genetic process according to the optimal individual feedback,providing algorithm support for the optimization method of joint operation scheme.By exploring the joint operation simulation system and OpenStack cloud computing platform,investigating the call process of the joint operation simulation system on the cloud computing platform,presenting the communication configuration process of the cloud simulation environment and it leads to complete the construction of the cloud simulation environment.The following step is to combining the improved genetic algorithm of the joint operation scheme optimization and summarizing into the joint operation scheme optimization method based on the cloud simulation.Eventually it will be able to realize the ultimate goal which is selecting the optimal joint operation plan in the cloud stimulation environment.At the final part of the paper,an experiment case is designed to verify the optimization method of joint operation scheme based on cloud simulation.