Intelligent Deployment Strategy based on genetic algorithm for components in software radar information processing platforms

We studied the deployment strategy of software components in a software radar information processing platform, and proposed a strategy to help achieve intelligent deployment of components through an improved genetic algorithm. The software components are efficiently and reasonably deployed on each server in a distributed manner to achieve load balancing and efficient deployment while avoiding server overload or resource waste. Simulation results show that compared with the traditional genetic algorithm, the intelligent deployment strategy proposed in this paper has more obvious advantages in terms of execution time and resource utilization, and can better achieve system resource allocation.