title: ÐÐ¸Ð¿ÐµÑÑÐ²ÑÐ¸ÑÑÐ¸ÐºÐ¸ Ð´Ð»Ñ Ð¿Ð¾Ð´Ð±Ð¾ÑÐ° Ð¿Ð°ÑÐ°Ð¼ÐµÑÑÐ¾Ð² Ð¼Ð°ÑÐµÐ¼Ð°ÑÐ¸ÑÐµÑÐºÐ¸Ñ Ð¼Ð¾Ð´ÐµÐ»ÐµÐ¹ Ð² Ð±Ð¸Ð¾Ð¸Ð½ÑÐ¾ÑÐ¼Ð°ÑÐ¸ÐºÐµ
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: Hyperheuristics for the selection of parameters of mathematical models in bioinfor-matics
Creators: name: ÐÑÐ¶Ð¸Ð½Ð°, ÐÐ°ÑÐ¸Ñ
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: 2023
Subjects: IT-ÑÐµÑ Ð½Ð¾Ð»Ð¾Ð³Ð¸Ð¸
Ð³ÐµÐ½Ð¾Ð¼Ð½Ð°Ñ ÑÐµÐ»ÐµÐºÑÐ¸Ñ
Ð³Ð¸Ð¿ÐµÑÑÐ²ÑÐ¸ÑÑÐ¸ÐºÐ°
ÑÐ°Ð·Ð½Ð¾ÑÑÐ½Ð°Ñ ÑÐ²Ð¾Ð»ÑÑÐ¸Ñ
Java
EthAcc
ÑÐµÐ½Ð¾ÑÐ¸Ð¿
Ð³ÐµÐ½Ð¾ÑÐ¸Ð¿
deepmethod
EvoHyp
IT-technologies
genomic selection
hyperheuristics
differential evolution
phenotype
genotype

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 Ð³Ð¸Ð¿ÐµÑÑÐ²ÑÐ¸ÑÑÐ¸ÑÐµÑÐºÐ¾Ð³Ð¾ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð° Ð´Ð»Ñ ÑÐµÑÐµÐ½Ð¸Ñ Ð·Ð°Ð´Ð°Ñ Ð±Ð¸Ð¾Ð¸Ð½ÑÐ¾ÑÐ¼Ð°ÑÐ¸ÐºÐ¸. ÐÐ°Ð´Ð°ÑÐ¸ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ: 1) ÐÐ·ÑÑÐ¸ÑÑ Ð¿ÑÐµÐ´ÑÑÐ°Ð²Ð»ÐµÐ½Ð½ÑÐµ Ð² Ð½Ð°ÑÑÐ½Ð¾Ð¹ Ð»Ð¸ÑÐµÑÐ°ÑÑÑÐµ ÑÐ°Ð·Ð½Ð¾Ð²Ð¸Ð´Ð½Ð¾ÑÑÐ¸ ÑÐ²ÑÐ¸ÑÑÐ¸ÑÐµÑÐºÐ¸Ñ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð¾Ð² Ð¸ Ð¼ÐµÑÐ°Ð½Ð¸Ð·Ð¼Ñ Ð¸Ñ ÑÐ¸Ð½ÑÐµÐ·Ð°. 2) Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐ°ÑÑ Ð¼Ð¾Ð´Ð¸ÑÐ¸ÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð½ÑÐ¹ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼ Ð´Ð»Ñ ÑÐµÑÐµÐ½Ð¸Ñ Ð·Ð°Ð´Ð°ÑÐ¸ Ð¾Ð¿ÑÐ¸Ð¼Ð¸Ð·Ð°ÑÐ¸Ð¸ Ð¾Ð±ÑÑÐ°ÑÑÐµÐ¹ Ð²ÑÐ±Ð¾ÑÐºÐ¸ Ð² Ð³ÐµÐ½Ð¾Ð¼Ð½Ð¾Ð¹ ÑÐµÐ»ÐµÐºÑÐ¸Ð¸. 3) ÐÑÐ¾Ð²ÐµÑÑÐ¸ ÑÐµÑÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½Ð½Ð¾Ð³Ð¾ Ð¼ÐµÑÐ¾Ð´Ð° Ð½Ð° Ð·Ð°Ð´Ð°ÑÐµ Ð¿Ð¾ÑÑÑÐ¾ÐµÐ½Ð¸Ñ Ð¼Ð¾Ð´ÐµÐ»Ð¸ Ð³ÐµÐ½Ð¾Ð¼Ð½Ð¾Ð¹ ÑÐµÐ»ÐµÐºÑÐ¸Ð¸ ÑÑÐ¾Ð¶Ð°Ð¹Ð½Ð¾ÑÑÐ¸ Ð¿ÑÐµÐ½Ð¸ÑÑ Ð¸ Ð¿ÑÐ¾Ð²ÐµÑÑÐ¸ ÑÑÐ°Ð²Ð½Ð¸ÑÐµÐ»ÑÐ½ÑÐ¹ Ð°Ð½Ð°Ð»Ð¸Ð· ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐ¾Ð². ÐÐ° Ð¾ÑÐ½Ð¾Ð²Ðµ ÑÑÑÐµÑÑÐ²ÑÑÑÐ¸Ñ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ð¹ Ð±ÑÐ»Ð° ÑÐ¿ÑÐ¾ÐµÐºÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð° Ð¸ ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½Ð° Ð³Ð¸Ð¿ÐµÑÑÐ²ÑÐ¸ÑÑÐ¸ÐºÐ° Ð²ÑÐ±Ð¾ÑÐ°. Ð ÐºÐ°ÑÐµÑÑÐ²Ðµ Ð¸Ð½ÑÑÑÑÐ¼ÐµÐ½ÑÐ°ÑÐ¸Ñ Ð´Ð»Ñ Ð¿Ð¾ÑÑÑÐ¾ÐµÐ½Ð¸Ñ Ð³Ð¸Ð¿ÐµÑÑÐ²ÑÐ¸ÑÑÐ¸ÐºÐ¸ Ð±ÑÐ» Ð²ÑÐ±ÑÐ°Ð½ EvoHyp.Â  Ð ÐºÐ°ÑÐµÑÑÐ²Ðµ Ð¾ÑÐ½Ð¾Ð²Ð½Ð¾Ð³Ð¾ Ð½Ð¸Ð·ÐºÐ¾ÑÑÐ¾Ð²Ð½ÐµÐ³Ð¾ ÑÐ²ÑÐ¸ÑÑÐ¸ÑÐµÑÐºÐ¾Ð³Ð¾ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð° Ð¾Ð¿ÑÐ¸Ð¼Ð¸Ð·Ð°ÑÐ¸Ð¸ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð»ÑÑ Ð¼ÐµÑÐ¾Ð´ ÑÐ°Ð·Ð½Ð¾ÑÑÐ½Ð¾Ð¹ ÑÐ²Ð¾Ð»ÑÑÐ¸Ð¸, Ð° ÑÐµÐ»ÐµÐ²Ð¾Ð¹ ÑÑÐ½ÐºÑÐ¸ÐµÐ¹ Ð±ÑÐ»Ð° Ð²ÑÐ±ÑÐ°Ð½Ð° Ð¾ÑÐµÐ½ÐºÐ° EthAcc Ð¸Ð»Ð¸ Ð¾ÑÐµÐ½ÐµÐ½Ð½Ð°Ñ ÑÐµÐ¾ÑÐµÑÐ¸ÑÐµÑÐºÐ°Ñ ÑÐ¾ÑÐ½Ð¾ÑÑÑ, Ð¿Ð¾Ð·Ð²Ð¾Ð»ÑÑÑÐ°Ñ Ð¿ÑÐ¾Ð°Ð½Ð°Ð»Ð¸Ð·Ð¸ÑÐ¾Ð²Ð°ÑÑ ÑÐµÐ½Ð½Ð¾ÑÑÑ Ð¾Ð±ÑÑÐ°ÑÑÐµÐ¹ Ð²ÑÐ±Ð¾ÑÐºÐ¸. ÐÐ»Ñ ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½Ð½Ð¾Ð³Ð¾ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð° Ð±ÑÐ»Ð¸ Ð¿ÑÐ¾Ð²ÐµÐ´ÐµÐ½Ñ ÑÐµÑÑÑ Ð½Ð° ÑÑÐ½ÐºÑÐ¸Ð¸ Ð Ð°ÑÑÑÐ¸Ð³Ð¸Ð½Ð° Ð¸ ÑÐµÑÑÑ Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼ ÑÐµÐ°Ð»ÑÐ½ÑÑ Ð´Ð°Ð½Ð½ÑÑ Ð¾ 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¸ Ð¿ÐµÑÑÐ¿ÐµÐºÑÐ¸Ð²Ñ ÑÐ¾Ð·Ð´Ð°Ð½Ð½Ð¾Ð³Ð¾ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð° Ð¿ÑÐ¸ ÑÐµÑÐµÐ½Ð¸Ð¸ Ð·Ð°Ð´Ð°Ñ Ð±Ð¸Ð¾Ð¸Ð½ÑÐ¾ÑÐ¼Ð°ÑÐ¸ÐºÐ¸.
description: This bachelors thesis is devoted to the development of a hyperheuristic algo-rithm for solving bioinformatics problems. Research objectives: 1) To study the varieties of heuristic algorithms and mechanisms for their syn-thesis presented in the scientific literature. 2) To develop a modified algorithm for solving training sample problems in genomic selection. 3) To test the method for the task of building a model of genomic selection of wheat crop and conduct a comparative analysis of the results. Based on existing research, the hyperheuristics of choice was researched and developed. EvoHyp was chosen as a tool for building hyperheuristics. The method of differential evolution is used as a generally accepted low-level heuristic algorithm, and the EthAcc estimate, or an increased theoretical estimate is chosen for growth de-tection, which allows increasing the coverage of the training sample. For the devel-oped algorithm, tests were carried out on Rastrigins function and tests using data on the genotype of various wheat varieties. The analysis of the numerical results showed the effectiveness and a promising algorithm for solving bioinformatics problems.