Survivability Optimization of the Silo Group Deployment by Agent Modeling and Simulation

Abstract

Survivability is an important indicator for the nuclear weapon deployed by silo group. From the view of survivability optimization, firstly, a brief analysis for Aside factors, B-side factors and environmental factors that affect survivability of the silo group is completed, extract the main factors and make corresponding limitations. Secondly, agent modeling method is introduced to establish the silo agent model, detail the model rules, analyze the changes in the deployment status of the silo group using the Markov process, and construct an objective function model for the optimization of the silo group survivability. Finally, simulation based on the objective function is performed, and the simulation result shows that the problem of survivability optimization deployment of the silo group get some sort of solution, which may provide reference for similar military target deployment problems.