Goldsmiths - University of London

Particle Swarm Optimization Algorithms for Autonomous Robots with Leaders Using Hilbert Curves

Logofatu, Doina; Sobol, Gil and Stamate, Daniel. 2017. Particle Swarm Optimization Algorithms for Autonomous Robots with Leaders Using Hilbert Curves. In: G. Boracchi; L. Iliadis; C. Jayne and A. Likas, eds. Engineering Applications of Neural Networks 18th International Conference, EANN 2017, Athens, Greece, August 25–27, 2017, Proceedings. 744 Cham: Springer International Publishing, pp. 535-543. ISBN 978-3-319-65172-9 [Book Section]

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Abstract or Description

The approaches in this work combine the swarm behavior principles of Craig W. Reynolds with space filling curves movements. We intend to evaluate how the entire swarm moves by including a deterministic leader behavior for some agents. Therefore, we examine different combinations of Hilbert Curves with the classical swarm algorithms. We introduce a practical problem, the collection of manganese nodules on the sea ground by using autonomous agents. Some relevant experiments, combining different parameters for the leaders were run and the results are evaluated and described. Finally, we propose further developments and ideas to continue this research.

Item Type: Book Section

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2 August 2017Published

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Date Deposited:

26 Sep 2017 11:51

Last Modified:

09 Jul 2018 15:54

URI: http://research.gold.ac.uk/id/eprint/21126

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