title: ÐÐ¾Ð´Ñ Ð¾Ð´Ñ Ðº ÑÐ¾ÑÐ¼Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð¾Ð¿ÑÐ¸Ð¼Ð°Ð»ÑÐ½Ð¾Ð³Ð¾ Ð½Ð°Ð±Ð¾ÑÐ° ÑÑÐµÐ½Ð°ÑÐ¸ÐµÐ² Ð² ÑÑÐµÐ½Ð°ÑÐ½ÑÑ ÑÐ°ÑÑÐµÑÐ°Ñ
title: Approaches to the formation of an optimal set of scenarios in scenario calculations
Creators: name: ÐÐ¾ÑÐ¿ÐµÐ»Ð¾Ð², ÐÐ°Ð¿Ð¸ÑÐ¾Ð½
name: "Ð£Ð¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ðµ Ð¸Ð½Ð½Ð¾Ð²Ð°ÑÐ¸ÑÐ¼Ð¸ Ð² ÑÑÐ»Ð¾Ð²Ð¸ÑÑ  ÑÐ¸ÑÑÐ¾Ð²Ð¾Ð¹ ÑÑÐ°Ð½ÑÑÐ¾ÑÐ¼Ð°ÑÐ¸Ð¸", Ð²ÑÐµÑÐ¾ÑÑÐ¸Ð¹ÑÐºÐ°Ñ ÑÑÑÐ´ÐµÐ½ÑÐµÑÐºÐ°Ñ ÑÑÐµÐ±Ð½Ð¾-Ð½Ð°ÑÑÐ½Ð°Ñ ÐºÐ¾Ð½ÑÐµÑÐµÐ½ÑÐ¸Ñ (2023; Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³)
Publisher: name: ÐÐÐÐÐ¢ÐÐ¥-ÐÐ ÐÐ¡Ð¡
Year: 2023
Subjects: ÐÐ°ÑÐµÐ¼Ð°ÑÐ¸ÑÐµÑÐºÐ¾Ðµ Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ
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ÑÐ¾ÐºÑÐ°ÑÐµÐ½Ð¸Ðµ ÑÐ¸ÑÐ»Ð° ÑÑÐµÐ½Ð°ÑÐ¸ÐµÐ²
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Ð³ÐµÐ½ÐµÑÐ¸ÑÐµÑÐºÐ¸Ð¹ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼
scenario
scenario calculation
optimization
reduction of the number of scenarios
reduction of scenarios
genetic algorithm

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description: The article presents a brief overview and qualitative comparative analysis of approaches to optimizing scenario calculations in stochastic programming problems by reducing the number of scenarios and forming an optimal set of scenarios using genetic algorithms. Information about the approaches is collected from domestic and foreign scientific publications. Research methods: analysis, comparison, study of sources. Comparison of approaches is carried out according to criteria: type of method, optimization principle, scope of application, presence or absence of special requirements. The prospects for the development of the study consist in strengthening the theoretical basis for solving the optimization problems of scenario calculations, as well as practical comparison of the presented approaches based on quantitative evaluation methods.