Agent-based simulation of cooperative hunting with UAVs
R. Ryan McCune, Gregory R. Madey · 2013
Swarm intelligent systems are simple but robust, capable of solving complex problems that no single agent could attempt. While technological advancements have driven development of multi-agent systems across disciplines, emergent behavior inherent to swarms is a desirable yet difficult property to ex-ploit. Solutions utilizing swarm behavior have been proposed for the Cooperative Cleaning Problem, which is applicable to UAVs cooperatively searching for evasive targets. This work proposes a new agent behavior capable of partitioning a search area, and when combined with previous swarm so-lutions, forms an optimization problem of how to best assign swarms to a complex topology. Agent-based simulations are developed to test swarm solutions. 1.