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AutoMoDe-IcePop: Automatic Modular Design of Control Software for Robot Swarms Using Simulated Annealing

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Artificial Intelligence and Machine Learning (BNAIC 2019, BENELEARN 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1196))

Abstract

Prior research has shown that the optimization algorithm is an integral part of the automatic modular off-line design of control software for robot swarms and can have great influence on the quality of the control software produced. In this paper we investigate, whether a stochastic local search metaheuristic—simulated annealing—can be used as the optimization algorithm in the automatic modular design of robot swarms. The results indicate that simulated annealing is indeed a viable candidate. Additionally, we investigate the influence of some obvious variations of simulated annealing on the performance of the automatic modular design.

JK and KUA contributed equally to this work and should be considered as co-first authors. The experiments were designed by JK and performed by KUA. The paper was drafted by JK and edited by MB; all authors read and commented the final version. The research was directed by MB.

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Acknowledgements

The project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 681872). Jonas Kuckling and Mauro Birattari acknowledge support from the Belgian Fonds de la Recherche Scientifique – FNRS.

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Authors and Affiliations

  1. IRIDIA, Université Libre de Bruxelles, Brussels, Belgium

    Jonas Kuckling, Keneth Ubeda Arriaza & Mauro Birattari

Authors
  1. Jonas Kuckling
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  2. Keneth Ubeda Arriaza
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  3. Mauro Birattari
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Corresponding author

Correspondence to Jonas Kuckling .

Editor information

Editors and Affiliations

  1. Vrije Universiteit Brussel, Brussels, Belgium

    Bart Bogaerts

  2. Université Libre de Bruxelles, Brussels, Belgium

    Gianluca Bontempi

  3. Université de Liège, Liège, Belgium

    Pierre Geurts

  4. Vrije Universiteit Brussel, Brussels, Belgium

    Nick Harley

  5. Université Libre de Bruxelles, Brussels, Belgium

    Bertrand Lebichot

  6. Université Libre de Bruxelles, Brussels, Belgium

    Tom Lenaerts

  7. Université de Liège, Liège, Belgium

    Gilles Louppe

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Kuckling, J., Ubeda Arriaza, K., Birattari, M. (2020). AutoMoDe-IcePop: Automatic Modular Design of Control Software for Robot Swarms Using Simulated Annealing. In: Bogaerts, B., et al. Artificial Intelligence and Machine Learning. BNAIC BENELEARN 2019 2019. Communications in Computer and Information Science, vol 1196. Springer, Cham. https://doi.org/10.1007/978-3-030-65154-1_1

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  • DOI: https://doi.org/10.1007/978-3-030-65154-1_1

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