Abstract
In this chapter, a meta-heuristic optimization algorithm, called cuckoo search algorithm is applied to determine the optimal parameters of the fractional Gompertz model via Liouville–Caputo and Atangana–Baleanu–Caputo fractional derivatives. The numerical solutions of the proposed models were obtained using the Adams method. The proposed methodology is tested on epidemiological examples. In the interval considered, the fractional models had the best fit for the epidemiological data considered. The effectiveness of the methodology is shown by a comparison with the classical models. A comparison between the fractional models and the classical models was carried out to show the effectiveness of our methodology.
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References
Gompertz, B.: On the nature of the function expressive of the law of human mortality, and on a new mode of determining the value of life contingencies. Philos. Trans. R. Soc. Lond. B Biol. Sci. 182, 513–585 (1825)
Chatterjee, T., Chatterjee, B.K., Majumdar, D., Chakrabarti, P.: Antibacterial effect of silver nanoparticles and the modeling of bacterial growth kinetics using a modified Gompertz model. Biochim. Biophys. ca (BBA)-Gen. Subj. 1850(2), 299–306 (2015)
Budiyono, I., Sumardiono, S.: Kinetic model of biogas yield production from vinasse at various initial pH: comparison between modified Gompertz model and first order kinetic model. Res. J. Appl. Sci. Eng. Technol. 7(13), 2798–2805 (2014)
Tjorve, K.M., Tjorve, E.: The use of Gompertz models in growth analyses, and new Gompertz-model approach: an addition to the Unified-Richards family. PloS one 12(6), 1–9 (2017)
Liu, H., Chen, N., Feng, C., Tong, S., Li, R.: Impact of electro-stimulation on denitrifying bacterial growth and analysis of bacterial growth kinetics using a modified Gompertz model in a bio-electrochemical denitrification reactor. Bioresour. Technol. 232, 344–353 (2017)
Costa, B.A., Lemos, J.M.: Drug administration design for cancer Gompertz model based on the Lyapunov method. In: Controlo 2016, vol. 1, pp. 131–141. Springer International Publishing, Berlin (2017)
Horiuchi, S., Ouellette, N., Cheung, S.L.K., Robine, J.M.: Modal age at death: lifespan indicator in the era of longevity extension. Vienna Yearb. Popul. Res. 1, 37–69 (2013)
Izquierdo, F., Prats, C., López, D.: The use of the Gompertz model in its differential form for weed emergence modelling. In: XV Congreso de la Sociedad Española de Malherbología, SEMh, 2015, vol. 1, pp. 367–373 (2015)
Ryan, C.A., Billington, S.L., Criddle, C.S.: Assessment of models for anaerobic biodegradation of a model bioplastic: poly (hydroxybutyrate-co-hydroxyvalerate). Bioresour. Technol. 227, 205–213 (2017)
Mohammadi Farrokhran, E., Mahmoodi, M., Mohammad, K., Rahimi, A., Majlesi, F., Parsaeian, M.: Study of factors affecting first birth interval using modified Gompertz cure model in west Azarbaijan province, Iran. Iran. J. Epidemiol. 9(1), 41–51 (2013)
Du, M., Wang, Z., Hu, H.: Measuring memory with the order of fractional derivative. Sci. Rep. 3(1), 1–3 (2013)
Magin, R.L.: Fractional calculus models of complex dynamics in biological tissues. Comput. Math. Appl. 59(5), 1586–1593 (2010)
Atici, F.M., Şengul, S.: Modeling with fractional difference equations. J. Math. Anal. Appl. 369(1), 1–9 (2010)
Bolton, L., Cloot, A.H., Schoombie, S.W., Slabbert, J.P.: A proposed fractional-order Gompertz model and its application to tumour growth data. Math. Med. Biol. J. IMA 32(2), 187–207 (2014)
Atangana, A., Secer, A.: A note on fractional order derivatives and table of fractional derivatives of some special functions. Abstr. Appl. Anal. 2013, 1–15 (2013)
Caputo, M., Fabrizio, M.: A new definition of fractional derivative without singular kernel. Prog. Fract. Differ. Appl. 1(2), 73–85 (2015)
Atangana, A., Baleanu, D.: New fractional derivatives with nonlocal and non-singular kernel. Theory and application to heat transfer model. Therm. Sci. 20(2), 763–769 (2016)
Yang, X.S., Deb, S.: Cuckoo search: recent advances and applications. Neural Comput. Appl. 24(1), 169–174 (2014)
Abdel-Basset, M., Hessin, A.N., Abdel-Fatah, L.: A comprehensive study of cuckoo-inspired algorithms. Neural Comput. Appl. 1, 1–17 (2016)
Yang, X.S., Deb, S.: Engineering optimisation by cuckoo search. Int. J. Math. Model. Numer. Optim. 1(4), 330–343 (2010)
Changpin, L., Chunxing, T.: On the fractional Adams method. Comput. Math. Appl. 58(8), 1573–1588 (2009)
Diethelm, K., Ford, N.J., Freed, A.D.: Detailed error analysis for a fractional Adams method. Numer. Algorithms 36(1), 31–52 (2004)
Alkahtani, B.S.T.: Chua’s circuit model with Atangana–Baleanu derivative with fractional order. Chaos Solitons Fractals 89, 1–5 (2016)
Wu, J.W., Hung, W.L., Tsai, C.H.: Estimation of parameters of the Gompertz distribution using the least squares method. Appl. Math. Comput. 158(1), 133–147 (2004)
Fekedulegn, D., Mac Siurtain, M.P., Colbert, J.J.: Parameter estimation of nonlinear growth models in forestry. Silva Fenn. 33(4), 327–336 (1999)
Lewis, C.D.: Industrial and Business Forecasting Methods: A Practical Guide to Exponential Smoothing and Curve Fitting. Butterworth-Heinemann, Oxford (1982)
https://knoema.com/UNAIDSS2016/united-nations-aids-statistics-2016
https://knoema.com/WZVO2016jul/world-zika-virus-epidemic-2015-16-monthly-update
https://knoema.com/hlth-ps-scre/breast-cancer-and-cervical-cancer-screenings
https://knoema.com/hlth-co-ren/end-stage-renal-failure-esrf-patients
https://knoema.com/WBHNPStats2016May/health-nutrition-and-population-statistics-world-bank
Acknowledgements
Jesús Emmanuel Solís Pérez acknowledges the support provided by CONACyT through the assignment doctoral fellowship. José Francisco Gómez Aguilar acknowledges the support provided by CONACyT: Cátedras CONACyT para jóvenes investigadores 2014. José Francisco Gómez Aguilar and Ricardo Fabricio Escobar Jiménez acknowledges the support provided by SNI-CONACyT.
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Solís-Pérez, J.E., Gómez-Aguilar, J.F., Escobar-Jiménez, R.F., Torres, L., Olivares-Peregrino, V.H. (2019). Parameter Estimation of Fractional Gompertz Model Using Cuckoo Search Algorithm. In: Gómez, J., Torres, L., Escobar, R. (eds) Fractional Derivatives with Mittag-Leffler Kernel. Studies in Systems, Decision and Control, vol 194. Springer, Cham. https://doi.org/10.1007/978-3-030-11662-0_6
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