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A Novel Space Filling Curves Based Approach to PSO Algorithms for Autonomous Agents

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Computational Collective Intelligence (ICCCI 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10448))

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Abstract

In this work the swarm behavior principles of Craig W. Reynolds are combined with deterministic traits. This is done by using leaders with motions based on space filling curves like Peano and Hilbert. Our goal is to evaluate how the swarm of agents works with this approach, supposing the entire swarm will better explore the entire space. Therefore, we examine different combinations of Peano and Hilbert with the already known swarm algorithms and test them in a practical challenge for the harvesting of manganese nodules on the sea ground with the use of autonomous robots. We run experiments with various settings, then evaluate and describe the results. In the last section some further development ideas and thoughts for the expansion of this study are considered.

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Authors and Affiliations

  1. Computer Science Department of Frankfurt, University of Applied Sciences, Nibelungenplatz 1, 60318, Frankfurt am Main, Germany

    Doina Logofătu & Kristiyan Balabanov

  2. Industrial Engineering, Technion - Israel Institute of Technology, Haifa, Israel

    Gil Sobol

  3. Department of Computing, Goldsmiths College, University of London, London, SE146NW, UK

    Daniel Stamate

Authors
  1. Doina Logofătu
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  2. Gil Sobol
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  3. Daniel Stamate
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  4. Kristiyan Balabanov
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Corresponding author

Correspondence to Doina Logofătu .

Editor information

Editors and Affiliations

  1. Department of Information Systems, Faculty of Computer Science and Management , Wrocław University of Science and Technology, Wrocław, Poland

    Ngoc Thanh Nguyen

  2. Department of Computer Science, University of Cyprus, Nicosia, Cyprus

    George A. Papadopoulos

  3. Department of Information Systems, Gdynia Maritime University, Gdynia, Poland

    Piotr Jędrzejowicz

  4. Department of Information Systems, Faculty of Computer Science and Management, Wrocław University of Science and Technology, Wrocław, Poland

    Bogdan Trawiński

  5. Department of Information Systems, University of Münster, Münster, Germany

    Gottfried Vossen

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© 2017 Springer International Publishing AG

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Logofătu, D., Sobol, G., Stamate, D., Balabanov, K. (2017). A Novel Space Filling Curves Based Approach to PSO Algorithms for Autonomous Agents. In: Nguyen, N., Papadopoulos, G., Jędrzejowicz, P., Trawiński, B., Vossen, G. (eds) Computational Collective Intelligence. ICCCI 2017. Lecture Notes in Computer Science(), vol 10448. Springer, Cham. https://doi.org/10.1007/978-3-319-67074-4_35

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  • DOI: https://doi.org/10.1007/978-3-319-67074-4_35

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67073-7

  • Online ISBN: 978-3-319-67074-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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