Evolving Optimal Submunition Design for Attacking Relocatable Targets

摘要

Relocatable targets are mobile targets that will stay in a discrete location for an unknown, random length of time before moving to another location. Such targets include mobile missile launchers, air defense units, fuel trucks and other high value targets (e.g. maneuver forces). Using a combination of multiagent simulation and a multiobjective evolutionary algorithm, we evolve optimal submunition design characteristics for attacking relocatable target examined three types of target concealment, and discovered that high probability of detection, short delay times, and multiple submunitions are required for successful engagement.