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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References
Yang, X.-S.: A new metaheuristic bat-inspired algorithm. In: Gonzales, J.R., et al. (eds.) Nature Inspired Cooperative Strategies for Optimization. Studies in Computational Intelligence, vol. 284, pp. 65–74. Springer, Heidelberg (2010)
Hossain, Q.D., Uddin, M.N., Hasan, M.M.: Collision avoidance technique using bio-mimic feedback control. In: Proceedings of the International Conference on Informatics, Electronics and Vision (ICIEV), pp. 1–6. IEEE (2014)
Ruczyński, I., Bartoń, K.A.: Modelling sensory limitation: the role of tree selection, memory and information transfer in bats’ roost searching strategies. PloS one 7(9), e44897 (2012)
Naďo, L., Kaňuch, P.: Dawn swarming in tree-dwelling bats – an unexplored behaviour. Acta Chiropterologica 15, 387–392 (2013)
Naďo, L., Kaňuch, P.: Swarming behaviour associated with group cohesion in tree-dwelling bats. Behav. Process. 120, 80–86 (2015)
Zelenka, J., Kasanický, T., Budinská, I., Naďo, L., Kaňuch, P.: SkyBat: a swarm robotic model inspired by fission-fusion behaviour of bats. In: Mechanisms and Machine Science: Advances in Service and Industrial Robotics. RAAD 2018, vol. 67, pp. 521–528. Springer, Cham (2019). ISSN 2211-0984
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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