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Fuzzy Optimal Algorithms for Multiple Target Convergence

  • Chapter
Fuzzy Optimization

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 254))

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Abstract

The proposed fuzzy application is the use of fuzzy algorithms for a networked swarm of autonomous vehicles, such as those used in planet exploration, and to be used in target location determination and convergence. In particular, an algorithm of this type could be used in an Autonomous Stratospheric Aircraft (ASA), thus having the possibility of being used for the exploration of a planet as well as many other applications. Upon finding an unknown location of a specified target, the algorithm would then swarm and eventually converge upon the location. There are two similar, but fundamentally different algorithms proposed in this presentation. These algorithms are capable of locating and converging upon multiple targeted locations simultaneously. This project is inspired by the current thought of NASA in the search of life on Mars, which is ”Follow the Water” [17] where the targeted location would be a water source. These algorithms make use of combining a modified Particle Swarm Optimization algorithm combined with fuzzy variables for added intelligence.

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Richards, Z. (2010). Fuzzy Optimal Algorithms for Multiple Target Convergence. In: Lodwick, W.A., Kacprzyk, J. (eds) Fuzzy Optimization. Studies in Fuzziness and Soft Computing, vol 254. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13935-2_22

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  • DOI: https://doi.org/10.1007/978-3-642-13935-2_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13934-5

  • Online ISBN: 978-3-642-13935-2

  • eBook Packages: EngineeringEngineering (R0)

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