Fuzzy Optimal Algorithms for an Optimal Swarm of Autonomous Aircrafts
Zach D. Richards, Roger E. Salters · 12th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference · 2008
This paper proposes an analytical and theoretical algorithm for a networked swarm of autonomous vehicles to be used in target location determination. For example, an algorithm of this type could be used in an Autonomous Stratospheric Aircraft. Thus having the possibility of being used for the exploration of a planet as well as many other applications. Upon locating an unknown location of a specified target, the algorithm would then swarm and eventually converge on the location. There are two similar, but fundamentally different, algorithms proposed in this paper. These algorithms are capable of locating and converging upon multiple targeted locations simultaneously. This paper is inspired by the current thought of NASA in the search of life on Mars, which is “Follow the Water”. These algorithms make use of combining a modified Particle Swarm Optimization algorithm with fuzzy variables for added intelligence.