Automated Target Area Threat and Route Optimization

This effort will develop a software tool with the ability for near real-time threat and target area routing and de-confliction capability. Through the use of innovative algorithms based on reactive-navigation, extension of Genetic Algorithm work, and software architecture it will optimize the performance of multiple platforms by increasing survivability and increasing probability of kill in a dynamic, high threat environment. The design will be robust enough to accommodate platform enhancements, onboard/offboard jamming, reactive Suppression of Enemy Air Defense measures, and minimize strike platform exposure. The proposed development builds upon BeemmLink the software framework for modeling, simulation, visualization, and analysis of dynamical systems The proposed effort will result in the proof-of-concept implementation of functionalities for asset allocation and path-planning/motion-planning. We will determine minimal acceptable asset packages that maximize the probability of reaching their designated targets, and use these elementary packages for constructing viable asset groups. These implementations will demonstrate that BeemmLink is capable of efficiently handling the required computational complexity of algorithms commonly used in the context of mission planning.