Open AccessEvolutionary synthesis of nonlinear models based on metaheuristic programming and templates
Author(s) -
О. Г. Монахов
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1715/1/012010
Subject(s) - metaheuristic , template , evolutionary algorithm , differential evolution , computer science , parallel metaheuristic , nonlinear system , mathematical optimization , evolutionary programming , algorithm , mathematics , nonlinear programming , physics , quantum mechanics , meta optimization , programming language
The application of a metaheuristic programming (MP) algorithm based on various bio-inspired algorithms for the evolutionary (metaheuristic) synthesis of nonlinear models is considered. The described approach of evolutionary synthesis uses a sequential operator structure of the chromosome, templates (with some undefined functions and parameters) of the models and the given sets of pairs of input and output data. The influence of the degree of specialization of the template on the characteristics of the search algorithm in the metaheuristic synthesis of nonlinear models defined by ordinary differential equations with undetermined functions and parameters is studied. Estimates of the complexity of this algorithm are obtained, and a significant reduction in the search time when using templates in the process of the evolutionary synthesis is shown.