Work

The inverse problem of a dynamical system solved with genetic algorithms

Year: 2021

Type: conference-paper

Abstract: 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.

Source: Journal of Physics Conference Series

DOI: 10.1088/1742-6596/1723/1/012021

Authors: Ricardo Medel Esquivel, Isidro Gómez-Vargas, Teodoro Rivera Montalvo, J. Alberto Vázquez, Ricardo García-Salcedo

Institutions: Instituto Politécnico Nacional, Universidad Nacional Autónoma de México

Language: English

Topic: Metaheuristic Optimization Algorithms Research

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

Funders: Consejo Nacional de Ciencia y Tecnología, Dirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de México

Awards: G1065831424, G218243235, G6695304358, G6958583472, G7050597519