Abstract
This paper presents a swarm robotics approach for dual non-cooperative search, where two robotic swarms are deployed within a map with the goal to find their own target point, placed at an unknown location of the map. We consider the self-centered mode, in which each swarm tries to solve its own goals with no consideration to any other factor external to the swarm. This problem, barely studied so far in the literature, is solved by applying a popular swarm intelligence method called bat algorithm, adapted to this problem. Five videos show some of the behavioral patterns found in our computational experiments.
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Acknowledgements
Research supported by project PDE-GIR of the European Union’s Horizon 2020 (Marie Sklodowska-Curie grant agreement No. 778035), grant #TIN2017-89275-R (Spanish Ministry of Economy and Competitiveness, Computer Science National Program, AEI/FEDER, UE), grant #JU12 (SODERCAN and European Funds FEDER UE) and project EMAITEK (Basque Government).
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Suárez, P. et al. (2018). Bat Algorithm Swarm Robotics Approach for Dual Non-cooperative Search with Self-centered Mode. In: Yin, H., Camacho, D., Novais, P., Tallón-Ballesteros, A. (eds) Intelligent Data Engineering and Automated Learning – IDEAL 2018. IDEAL 2018. Lecture Notes in Computer Science(), vol 11315. Springer, Cham. https://doi.org/10.1007/978-3-030-03496-2_23
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DOI: https://doi.org/10.1007/978-3-030-03496-2_23
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