Dustin J. Nowak

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As military interest continues to grow for Unmanned Aerial Vehicle (UAV) capabilities, the Air Force is exploring UAV autonomous control, mission planning and optimization techniques. The SWARMFARE simulation system allows for Evolutionary Algorithm computations of swarm based UAV Self Organization (SO). Through SWARMFARE, the capability exists to evaluate(More)
An agent system that develops and evolves its own structure can facilitate more accurate responses to complex environments. The purpose of the paper then is to explore this idea built upon our unmanned aerial vehicle (UAV) swarm model and simulation that uses autonomous self-organized concepts. The specific objective is to re-engineer this UAV foundation(More)
Many sectors of the military are interested in Self-Organized (SO) systems because of their flexibility, versatility and economics. The military is researching and employing autonomous and swarming ground robots, Unmanned Aerial Vehicles (UAVs) and Water Vehicles, medical agents, and 'Cyber-craft' security agents. The processes for effectively developing(More)
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