Open AccessМОДИФІКАЦІЯ ГЕНЕТИЧНИХ АЛГОРИТМІВ НА ОСНОВІ МЕТОДУ НЕЦЕНТРОВАНИХ ГОЛОВНИХ КОМПОНЕНТ ТА СТАНДАРТНІ ТЕСТИ
Author(s) -
O. Shadura
Publication year - 2019
Publication title -
world science/world science
Language(s) - English
Resource type - Journals
eISSN - 2414-6404
pISSN - 2413-1032
DOI - 10.31435/rsglobal_ws/30042019/6464
Subject(s) - principal component analysis , benchmark (surveying) , computer science , operator (biology) , genetic algorithm , principal (computer security) , algorithm , mathematical optimization , artificial intelligence , mathematics , machine learning , biochemistry , chemistry , transcription factor , gene , geography , operating system , geodesy , repressor
The purpose of this article is to develop the necessary mathematical description of the method of the uncentered principal component analysis for the optimization of the genetic algorithm. A secondary goal is to evaluate the approximations for its application for HEP data analysis and to develop its program implementation for genetic algorithm together with a new operator based on the method of the uncentered principal components (UPCA-operator) and to check its efficiency on the example benchmark tests.