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A Novel Bio Inspired Algorithm Based on Echolocation Mechanism of Bats for Seismic States Prediction

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  • Mohamed Elhadi Rahmani

    (GeCoDe Laboratory, Dr. Tahar Moulay University of Saida, Saida, Algeria)

  • Abdelmalek Amine

    (GeCoDe Laboratory, Dr. Tahar Moulay University of Saida, Saida, Algeria)

  • Reda Mohamed Hamou

    (GeCoDe Laboratory, Dr. Tahar Moulay University of Saida, Saida, Algeria)

Abstract

Bio-inspired algorithms are sort of implementation of natural solutions to solve hard problems – so called NP problems. A seismic hazard is the probability that an earthquake will occur in a given geographic area, within a given window of time, and with ground motion intensity exceeding a given threshold. Seismic hazards prediction is one of the fields where data mining plays an important role. This paper presents a new bio-inspired algorithm motivated by the echolocation behavior of bats for seismic hazard states prediction in coal mines based on previously recorded data. It is a distance calculation based approach, Results were very satisfactory in a manner that encourage us to continue working on this approach. The implementation of the algorithm touches three fields of studies, data discovery or so called data mining, bio inspired techniques, and seismic hazards predictions.

Suggested Citation

  • Mohamed Elhadi Rahmani & Abdelmalek Amine & Reda Mohamed Hamou, 2017. "A Novel Bio Inspired Algorithm Based on Echolocation Mechanism of Bats for Seismic States Prediction," International Journal of Swarm Intelligence Research (IJSIR), IGI Global, vol. 8(3), pages 1-18, July.
    • Handle: RePEc:igg:jsir00:v:8:y:2017:i:3:p:1-18
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    Cited by:

    1. Rabia Tehseen & Muhammad Shoaib Farooq & Adnan Abid, 2020. "Earthquake Prediction Using Expert Systems: A Systematic Mapping Study," Sustainability, MDPI, vol. 12(6), pages 1-32, March.

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