Adaptive Optimization Method of Resource Structure in Uncertain Environment Based on Cloud Genetic Algorithm

摘要

Aiming at the influence of uncertain factors that impact on tasks and platforms in battlefield environment, adaptive optimization method based on uncertain event is proposed. Taking the uncertainty of platform loss and task implementing time into consideration, established a resource structure optimizing model which takes the minimum mission execution time as object function. And a Resource Structure Based on Cloud Genetic Algorithm is designed to adjust or redesign the platform resource structure according to the influence that uncertain events impact on organization resource capability while triggering optimization. The availability and validity of the algorithm is proved by demonstrating a simulation case of joint campaign.