An improved CS-LS hybrid algorithm on microseismic source location

References

• Abdel-Baset, M., Zhou, Y., & Ismail, M. (2018). An improved cuckoo search algorithm for integer programming problems. International Journal of Computing Science and Mathematics, 9(1), 66–81. https://doi.org/https://doi.org/10.1504/IJCSM.2018.090710
   Web of Science ®Google Scholar
• Anikiev, D., Valenta, J., Staněk, F., & Eisner, L. (2014). Joint location and source mechanism inversion of microseismic events: Benchmarking on seismicity induced by hydraulic fracturing. Geophysical Journal International, 198(1), 249–258. https://doi.org/https://doi.org/10.1093/gji/ggu126
   Web of Science ®Google Scholar
• Batchelor, A. S., Baria, R., & Hearn, K. (1983). Monitoring the effects of hydraulic stimulation by microseismic event location: A case study. In SPE annual technical conference and exhibition. Society of Petroleum Engineers. https://doi.org/https://doi.org/10.2118/12109-MS.
   Google Scholar
• Bouyer, A., & Hatamlou, A. (2018). An efficient hybrid clustering method based on improved cuckoo optimization and modified particle swarm optimization algorithms. Applied Soft Computing, 67, 172–182. https://doi.org/https://doi.org/10.1016/j.asoc.2018.03.011
   Web of Science ®Google Scholar
• Caponnetto, A., & De Vito, E. (2007). Optimal rates for the regularized least-squares algorithm. Foundations of Computational Mathematics, 7(3), 331–368. https://doi.org/https://doi.org/10.1007/s10208-006-0196-8
   Web of Science ®Google Scholar
• Chi, R., Su, Y. X., Zhang, D. H., Chi, X. X., & Zhang, H. J. (2019). A hybridization of cuckoo search and particle swarm optimization for solving optimization problems. Neural Computing and Applications, 31(1), 653–670. https://doi.org/https://doi.org/10.1007/s00521-017-3012-x
   Web of Science ®Google Scholar
• Cui, Z., Sun, B., Wang, G., Xue, Y., & Chen, J. (2017). A novel oriented cuckoo search algorithm to improve DV-Hop performance for cyber-physical systems. Journal of Parallel and Distributed Computing, 103, 42–52. https://doi.org/https://doi.org/10.1016/j.jpdc.2016.10.011
   Web of Science ®Google Scholar
• Dennis Jr, J. E., Gay, D. M., & Walsh, R. E. (1981). An adaptive nonlinear least-squares algorithm. ACM Transactions on Mathematical Software (TOMS), 7(3), 348–368. https://doi.org/https://doi.org/10.1145/355958.355965
   Web of Science ®Google Scholar
• Dong, H., Lam, J., & Gao, H. (2011). Distributed H-infinity filtering for repeated scalar nonlinear systems with random packet losses in sensor networks. International Journal of Systems Science, 42(9), 1507–1519. https://doi.org/https://doi.org/10.1080/00207721.2010.550403
   Web of Science ®Google Scholar
• Drew, J. E., Leslie, H. D., Armstrong, P. N., & Michard, G. (2005). Automated microseismic event detection and location by continuous spatial mapping. In SPE annual technical conference and exhibition. Society of Petroleum Engineers. https://doi.org/https://doi.org/10.2118/95513-MS.
   Google Scholar
• Duncan Peter, M., & Eisner, L. (2010). Reservoir characterization using surface microseismic monitoring. Geophysics, 75(5), 139–146.https://doi.org/https://doi.org/10.1190/1.3467760
   Web of Science ®Google Scholar
• Fukui, R., Greenfield, C., Pogue, K., & van der Zwaan, B. (2017). Experience curve for natural gas production by hydraulic fracturing. Energy Policy, 105, 263–268. https://doi.org/https://doi.org/10.1016/j.enpol.2017.02.027
   Web of Science ®Google Scholar
• Gandomi, A. H., Yang, X. S., & Alavi, A. H. (2013). Cuckoo search algorithm: A metaheuristic approach to solve structural optimization problems. Engineering with Computers, 29(1), 17–35. https://doi.org/https://doi.org/10.1007/s00366-011-0241-y
   Web of Science ®Google Scholar
• Goyal, S., & Patterh, M. S. (2014). Wireless sensor network localization based on cuckoo search algorithm. Wireless Personal Communications, 79(1), 223–234. https://doi.org/https://doi.org/10.1007/s11277-014-1850-8
   Web of Science ®Google Scholar
• Grechka, V., De La Pena, A., Schisselé-Rebel, E., Auger, E., & Roux, P. F. (2015). Relative location of microseismicity. Geophysics, 80(6), WC1–WC9. https://doi.org/https://doi.org/10.1190/geo2014-0617.1
   Web of Science ®Google Scholar
• Grigoli, F., Cesca, S., Krieger, L., Kriegerowski, M., Gammaldi, S., Horalek, J., & Dahm, T. (2016). Automated microseismic event location using master-event waveform stacking. Scientific Reports, 6, https://doi.org/https://doi.org/10.1038/srep25744Article number 25744.
   Google Scholar
• Han, F., He, Q., Gao, H., Song, J., & Li, J. (2020). Decouple design of leader-following consensus control for nonlinear multi-agent systems. Systems Science & Control Engineering, 8(1), 288–296. https://doi.org/https://doi.org/10.1080/21642583.2020.1748138
   Web of Science ®Google Scholar
• Ibrahim, A. M., & Tawhid, M. A. (2019). A hybridization of cuckoo search and particle swarm optimization for solving nonlinear systems. Evolutionary Intelligence, 12(4), 541–561. https://doi.org/https://doi.org/10.1007/s12065-019-00255-0
   Web of Science ®Google Scholar
• Ismailova, D., & Lu, W. S. (2015, July). Improved least-squares methods for source localization: An iterative Re-weighting approach. In 2015 IEEE international conference on digital signal processing (DSP) (pp. 665–669). IEEE. https://doi.org/https://doi.org/10.1109/ICDSP.2015.7251958
   Google Scholar
• Lauria, D., & Pisani, C. (2014). Improved non-linear least squares method for estimating the damping levels of electromechanical oscillations. IET Generation, Transmission & Distribution, 9(1), 1–11. https://doi.org/https://doi.org/10.1049/gtd2.v9.1
   Web of Science ®Google Scholar
• Li, J., Zhang, H., Rodi, W. L., & Toksoz, M. N. (2013). Joint microseismic location and anisotropic tomography using differential arrival times and differential backazimuths. Geophysical Journal International, 195(3), 1917–1931. https://doi.org/https://doi.org/10.1093/gji/ggt358
   Web of Science ®Google Scholar
• Mareli, M., & Twala, B. (2018). An adaptive cuckoo search algorithm for optimisation. Applied Computing and Informatics, 14(2), 107–115. https://doi.org/https://doi.org/10.1016/j.aci.2017.09.001
   Google Scholar
• Maxwell, S. C., Rutledge, J., Jones, R., & Fehler, M. (2010). Petroleum reservoir characterization using downhole microseismic monitoring. Geophysics, 75(5). https://doi.org/https://doi.org/10.1190/1.3477966
   Google Scholar
• Ouaarab, A., Ahiod, B., & Yang, X. S. (2014). Discrete cuckoo search algorithm for the travelling salesman problem. Neural Computing and Applications, 24(7–8), 1659–1669. https://doi.org/https://doi.org/10.1007/s00521-013-1402-2
   Web of Science ®Google Scholar
• Senthilnath, J., Das, V., Omkar, S. N., & Mani, V. (2013). Clustering using levy flight cuckoo search. In Proceedings of seventh international conference on bio-inspired computing: Theories and applications (BIC-TA 2012) (pp. 65–75). Springer. https://doi.org/https://doi.org/10.1007/978-81-322-1041-2-6.
   Google Scholar
• Shehab, M., Khader, A. T., & Al-Betar, M. A. (2017). A survey on applications and variants of the cuckoo search algorithm. Applied Soft Computing, 61, 1041–1059. https://doi.org/https://doi.org/10.1016/j.asoc.2017.02.034
   Web of Science ®Google Scholar
• Valian, E., Tavakoli, S., Mohanna, S., & Haghi, A. (2013). Improved cuckoo search for reliability optimization problems. Computers & Industrial Engineering, 64(1), 459–468. https://doi.org/https://doi.org/10.1016/j.cie.2012.07.011
   Web of Science ®Google Scholar
• Walton, S., Hassan, O., Morgan, K., & Brown, M. R. (2011). Modified cuckoo search: A new gradient free optimisation algorithm. Chaos, Solitons & Fractals, 44(9), 710–718. https://doi.org/https://doi.org/10.1016/j.chaos.2011.06.004
   Web of Science ®Google Scholar
• Witten, B., & Shragge, J. (2017). Image-domain velocity inversion and event location for microseismic monitoring. Geophysics, 82(5), KS71–KS83. https://doi.org/https://doi.org/10.1190/geo2016-0561.1
   Web of Science ®Google Scholar
• Yaghini, M., Khoshraftar, M. M., & Fallahi, M. (2013). A hybrid algorithm for artificial neural network training. Engineering Applications of Artificial Intelligence, 26(1), 293–301. https://doi.org/https://doi.org/10.1016/j.engappai.2012.01.023
   Web of Science ®Google Scholar
• Yang, X. S., & Deb, S. (2009). Cuckoo search via Lévy flights. In 2009 World congress on nature & biologically inspired computing (NaBIC) (pp. 210–214). IEEE. https://doi.org/10.1109/NABIC.2009.5393-690.
   Google Scholar
• Yildiz, A. R. (2013). Cuckoo search algorithm for the selection of optimal machining parameters in milling operations. The International Journal of Advanced Manufacturing Technology, 64(1–4), 55–61. https://doi.org/https://doi.org/10.1007/s00170-012-4013-7
   Web of Science ®Google Scholar
• Zhebel, O., & Eisner, L. (2015). Simultaneous microseismic event localization and source mechanism determination: Inversion of location and mechanism. Geophysics, 80(1), KS1–KS9. https://doi.org/https://doi.org/10.1190/geo2014-0055.1
   Web of Science ®Google Scholar