Abstract
The paper describes a new swarm based algorithm inspired by the behaviour of tree bats. The algorithm is designed to search through unknown environment and look for objects of interest. Individual robotic swarm agents are equipped with memory to make a more efficient search of the space. The proposed algorithm has been evaluated in comparison with a uniform search. Changing a parameter “shout” changes the behaviour mode of the algorithm. By decreasing the parameter, parallel scan by smaller groups of agents is achieved. A higher value of the parameter leads to a sequential scanning with a large group of agents.
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Acknowledgment
This work has been supported by the Slovak Research and Development Agency SRDA (grant No. APVV-17-0116) and the Slovak Scientific Grant Agency VEGA (grant No. 2/0155/19). The simulations were performed using MDCS (Matlab Distributed Computing Server - 96 workers server) at CVTI SK.
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Zelenka, J., Kasanický, T., Budinská, I. (2020). A Swarm Algorithm Inspired by Tree-Dwelling Bats. Experiments and Evaluations. In: Berns, K., Görges, D. (eds) Advances in Service and Industrial Robotics. RAAD 2019. Advances in Intelligent Systems and Computing, vol 980. Springer, Cham. https://doi.org/10.1007/978-3-030-19648-6_60
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DOI: https://doi.org/10.1007/978-3-030-19648-6_60
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