TY - JOUR
T1 - The inverse problem of a dynamical system solved with genetic algorithms
AU - Esquivel, Ricardo Medel
AU - Gómez-Vargas, Isidro
AU - Montalvo, Teodoro Rivera
AU - Vázquez, J. Alberto
AU - Garciá-Salcedo, Ricardo
N1 - Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
PY - 2021/3/18
Y1 - 2021/3/18
N2 - In this work, we propose a complete methodology to identify the parameters of a dynamical system from a data set using genetic algorithms. Considering the search for the model parameters as an inverse problem, we numerically solve the differential equations of the dynamical system; each set of parameters is then considered as an individual of the population that evolves in the genetic algorithm. As a fitness function we use the distance L1 between the numerical solution and the data.
AB - In this work, we propose a complete methodology to identify the parameters of a dynamical system from a data set using genetic algorithms. Considering the search for the model parameters as an inverse problem, we numerically solve the differential equations of the dynamical system; each set of parameters is then considered as an individual of the population that evolves in the genetic algorithm. As a fitness function we use the distance L1 between the numerical solution and the data.
UR - http://www.scopus.com/inward/record.url?scp=85103250396&partnerID=8YFLogxK
U2 - 10.1088/1742-6596/1723/1/012021
DO - 10.1088/1742-6596/1723/1/012021
M3 - Artículo de la conferencia
AN - SCOPUS:85103250396
SN - 1742-6588
VL - 1723
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
IS - 1
M1 - 012021
T2 - 10th International Congress of Physics Engineering, CIIF 2020
Y2 - 28 September 2020 through 30 September 2020
ER -