Abstract
Since the first birth of computers, a lot of works had done in many fields of computer science and inspired generations and generations of researches. Alan Turing pioneered researches by its works in heuristics, and now, hundreds of algorithms and approaches are developed in this field. The last two decades witnessed a very huge movement in field of artificial intelligence. Researchers went far than invention of algorithms based on calculation, they created Bio inspired algorithms which are sort of implementation of natural solutions to solve hard problems so called NP problems. This paper presents a new bio inspired algorithm based in the echolocation behaviour of bats for seismic hazard prediction in coal mines. The implementation of the algorithm includes three fields of studies, data discovery or so called data mining, bio inspired techniques, and seismic hazards predictions.
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Rahmani, M.E. et al. (2016). A Novel Bio Inspired Algorithm Based on Echolocation Mechanism of Bats for Seismic Hazards Detection. In: Chikhi, S., Amine, A., Chaoui, A., Kholladi, M., Saidouni, D. (eds) Modelling and Implementation of Complex Systems. Lecture Notes in Networks and Systems, vol 1. Springer, Cham. https://doi.org/10.1007/978-3-319-33410-3_6
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DOI: https://doi.org/10.1007/978-3-319-33410-3_6
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