Modified Genetic Algorithm of Global Extremum Search in Combination with Directional Methods

Modified Genetic Algorithm of Global Extremum Search in Combination with Directional Methods

In the paper, the stochastic method of global extremum search is discussed, modified and tested. The method is based on normal distribution modeling and provides covariance matrix adaptation. The method is iterative; a genetic algorithm has been developed on its basis. The coordinates of the trial p...

Full description

Bibliographic Details
Main Authors: Dmitri Ovsyannikov, Liudmila Vladimirova, Irina Rubtsova, Alexey Rubanik, Vladimir Ponomarev
Format: Article
Language:English
Published: Irkutsk State University 2022-03-01
Series:Известия Иркутского государственного университета: Серия "Математика"
Subjects:
global extremum
genetic stochastic algorithm
covariance matrix adaptation
nonlinear regression
Online Access:https://mathizv.isu.ru/en/article/file?id=1400

Internet

https://mathizv.isu.ru/en/article/file?id=1400

Similar Items