The Research of Selecting Aim-Points for Penetration Cluster Warhead Attacking Runway Based on Genetic Algorithms and Monte Carlo

摘要

When using the penetration cluster warhead attacking runways,the selection of aim-points influents attack effect directly. By way of the analyzing the spread characters of penetration cluster warhead and runway’ characteristics,this paper builds the model of selection aim-point using penetration cluster warhead based on genetic algorithms (GA) and Monte Carlo (MC),and simulates the model. The simulation result indicates that being compared with traditional aim-point selection method,the method that thesis adopted is scientific and reasonable.