title: Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° ÑÑÐ¾Ñ Ð°ÑÑÐ¸ÑÐµÑÐºÐ¾Ð³Ð¾ Ð¼ÐµÑÐ¾Ð´Ð° Ð¿Ð¾Ð´Ð±Ð¾ÑÐ° Ð¿Ð°ÑÐ°Ð¼ÐµÑÑÐ¾Ð² Ð¼Ð¾Ð´ÐµÐ»Ð¸ Ð³ÐµÐ½Ð¾Ð¼Ð½Ð¾Ð¹ ÑÐµÐ»ÐµÐºÑÐ¸Ð¸
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Development of a stochastic method for selecting the parameters of a genomic selection model
Creators: name: Ð¡Ð°Ð»Ð¸ÑÐ¾Ð², Ð¡ÐµÑÐ³ÐµÐ¹
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2021
Subjects: IT-ÑÐµÑ Ð½Ð¾Ð»Ð¾Ð³Ð¸Ð¸
python
Ð¼Ð¾Ð´ÐµÐ»Ñ ÑÐµÐ³ÑÐµÑÑÐ¸Ð¸
rr-blup
Ð³ÐµÐ½Ð¾Ð¼Ð½Ð°Ñ ÑÐµÐ»ÐµÐºÑÐ¸Ñ
ÑÐµÐ½Ð¾ÑÐ¸Ð¿
Ð³ÐµÐ½Ð¾ÑÐ¸Ð¿
ÑÐ°Ð·Ð½Ð¾ÑÑÐ½Ð°ÑÑÐ²Ð¾Ð»ÑÑÐ¸Ñ
deepmethod
Ð¼Ð½Ð¾Ð³Ð¾Ð¼ÐµÑÐ½Ð°Ñ Ð¾Ð¿ÑÐ¸Ð¼Ð¸Ð·Ð°ÑÐ¸
IT-technologies
regression model
rrâblup
genomic selection
phenotype
genotype
differentialevolution
multi-dimensional optimization

description: ÐÐ°Ð½Ð½Ð°Ñ Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÑÐºÐ°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¿Ð¾ÑÐ²ÑÑÐµÐ½Ð° ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐºÐµ ÑÑÐ¾ÑÐ°ÑÑÐ¸ÑÐµÑÐºÐ¾Ð³Ð¾ Ð¼ÐµÑÐ¾Ð´Ð° Ð¾Ð¿ÑÐ¸Â­Ð¼Ð¸Ð·Ð°ÑÐ¸Ð¸, Ð´Ð»Ñ Ð³ÐµÐ½Ð¾Ð¼Ð½Ð¾Ð¹ ÑÐµÐ»ÐµÐºÑÐ¸Ð¸.ÐÐ° Ð¾ÑÐ½Ð¾Ð²Ðµ ÑÑÑÐµÑÑÐ²ÑÑÑÐ¸Ñ Ð½Ð°ÑÑÐ½ÑÑ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ð¹ Ð±ÑÐ» ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½ Ð¸ Ð¿ÑÐ¾ÑÐµÑÑÐ¸ÑÐ¾Ð²Ð°Ð½ ÑÑÐ¾ÑÐ°ÑÑÐ¸ÑÐµÑÐºÐ¸Ð¹ Ð¼ÐµÑÐ¾Ð´ Ð¾Ð¿ÑÐ¸Ð¼Ð¸Ð·Ð°ÑÐ¸Ð¸ Ð´Ð»Ñ Ð¿Ð¾Ð´Ð±Ð¾ÑÐ° Ð¿Ð°ÑÐ°Ð¼ÐµÑÑÐ¾Ð² Ð¼Ð¾Ð´ÐµÐ»Ð¸ Ð³ÐµÐ½Ð¾Ð¼Ð½Ð¾Ð¹ ÑÐµÐ»ÐµÐºÑÐ¸Ð¸. Ð ÐºÐ°ÑÐµÑÑÐ²Ðµ Ð¾ÑÐ½Ð¾Ð²Ð½Ð¾Ð³Ð¾ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð° Ð¾Ð¿ÑÐ¸Ð¼Ð¸Ð·Ð°ÑÐ¸Ð¸ Ð±ÑÐ» Ð²ÑÐ±ÑÐ°Ð½ Ð¼ÐµÑÐ¾Ð´ ÑÐ°Ð·Â­Ð½Ð¾ÑÑÐ½Ð¾Ð¹ ÑÐ²Ð¾Ð»ÑÑÐ¸Ð¸. Ð¡Ð´ÐµÐ»Ð°Ð½Ð° Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð½Ð°Ñ ÑÐµÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ñ Ð¼ÐµÑÐ¾Ð´Ð° ÑÐ°Ð·Ð½Ð¾ÑÑÐ½Ð¾Ð¹ ÑÐ²Ð¾Ð»ÑÑÐ¸Ð¸ Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ Ð¿ÑÐ¾ÐµÐºÑÐ° Ñ Ð¾ÑÐºÑÑÑÑÐ¼ Ð¸ÑÑÐ¾Ð´Ð½ÑÐ¼ ÐºÐ¾Ð´Ð¾Ð¼ deepmethod. ÐÑÐ»Ð¸ ÑÐµÐ°Ð»Ð¸Ð·Ð¾Ð²Ð°Ð½Ñ Ð¼Ð¾Ð´Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸, ÐºÐ¾ÑÐ¾ÑÑÐµ Ð¿Ð¾Ð·Ð²Ð¾Ð»ÑÑÑ Ð»ÑÑÑÐµ ÑÐ°Ð±Ð¾ÑÐ°ÑÑ Ñ Ð·Ð°Ð´Ð°ÑÐµÐ¹ Ð³ÐµÐ½Ð¾Ð¼Ð½Ð¾Ð¹ ÑÐµÐ»ÐµÐºÑÐ¸Ð¸.Ð ÐµÐ°Ð»Ð¸Ð·Ð¾Ð²Ð°Ð½Ð½ÑÐ¹ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼ Ð±ÑÐ» Ð¿ÑÐ¾ÑÐµÑÑÐ¸ÑÐ¾Ð²Ð°Ð½ ÑÑÐ½ÐºÑÑÐ¼Ð¸ Ð Ð°ÑÑÑÐ¸Ð³Ð¸Ð½Ð° Ð¸ Ð¨Ð²ÐµÑÐµÐ»Ð°Ð¸ Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼ ÑÐµÐ°Ð»ÑÐ½ÑÑ Ð´Ð°Ð½Ð½ÑÑ Ð¾ ÑÐµÐ½Ð¾ÑÐ¸Ð¿Ðµ Ð¸ Ð³ÐµÐ½Ð¾ÑÐ¸Ð¿Ðµ ÑÐ°Ð·Ð»Ð¸ÑÐ½ÑÑ ÑÐ¾ÑÑÐ¾Ð² Ð¿ÑÐµÐ½Ð¸ÑÑ. ÐÐ½Ð°Ð»Ð¸Ð· ÑÐ¸ÑÐ»ÐµÐ½Ð½ÑÑ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐ¾Ð² Ð¿Ð¾ÐºÐ°Ð·Ð°Ð» ÑÑÑÐµÐºÑÐ¸Ð²Ð½Ð¾ÑÑÑ Ð¸ ÑÐ¾ÑÐ¾ÑÐ¸Ð¹ Ð¿Ð¾ÑÐµÐ½ÑÐ¸Ð°Ð» ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½Ð½Ð¾Ð³Ð¾ Ð¼ÐµÑÐ¾Ð´Ð°, Ð¿ÑÐ¸ ÑÐµÑÐµÐ½Ð¸Ð¸ ÑÐµÐ»Ð¾ÑÐ¸ÑÐ»ÐµÐ½Ð½ÑÑ Ð·Ð°Ð´Ð°Ñ.
description: Based on existing scientific research, a stochastic optimization method was developedand tested for the selection of parameters of a genomic selection model. Thedifference evolution method was chosen as the main optimization algorithm. A softwareimplementation of the difference evolution method is made based on the deepmethodopen source project. Modifications have been implemented to better deal with the taskof genomic selection. The implemented algorithm was tested with the functions ofRastrigin and Shvefel and using real data on the phenotype and genotype of variouswheat varieties. Analysis of the numerical results showed the effectiveness and goodpotential of the developed method when solving integer problems.