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РАЗРАБОТКА АЛГОРИТМА ЧИСЛЕННОЙ ОПТИМИЗАЦИИ ПРОЕКТОВ СТРОИТЕЛЬСТВА И РЕКОНСТРУКЦИИ ИНЖЕНЕРНЫХ СООРУЖЕНИЙ

РАЗРАБОТКА АЛГОРИТМА ЧИСЛЕННОЙ ОПТИМИЗАЦИИ ПРОЕКТОВ СТРОИТЕЛЬСТВА И РЕКОНСТРУКЦИИ ИНЖЕНЕРНЫХ СООРУЖЕНИЙ

Abstract

The paper analyzes the numerical optimization methods of construction projects and reconstruction of engineering structures. Purpose. Possible ways of modeling organizational and technological solutions in construction are presented. Based on the analysis the most effective method of optimization by experimental and statistical modeling with application of modern computer programs in the field of project management and mathematical statistics is selected. Conclusion. An algorithm for solving optimization problems by means of experimental and statistical modeling is developed.

Проанализированы численные методы оптимизации проектов строительства и реконструкции инженерных сооружений. Рассмотрены возможные способы моделирования организационно-технологических решений в строительстве. На основании проведенного анализа в качестве наиболее эффективного выбран метод оптимизации путём экспериментально-статистического моделирования с применением современных компьютерных программ в области управления проектами и математической статистики. Вывод. Разработан алгоритм решения оптимизационных задач с помощью экспериментальностатистического моделирования.

Keywords

ОБОСНОВАНИЕ И ПЛАНИРОВАНИЕ ИНВЕСТИЦИОННО-СТРОИТЕЛЬНЫХ ПРОЕКТОВ,ЭКСПЕРИМЕНТАЛЬНОСТАТИСТИЧЕСКОЕ МОДЕЛИРОВАНИЕ,ЧИСЛЕННЫЕ МЕТОДЫ ОПТИМИЗАЦИИ,ОБґРУНТУВАННЯ ТА ПЛАНУВАННЯ іНВЕСТИЦіЙНО-БУДіВЕЛЬНИХ ПРОЕКТіВ,ЕКСПЕРИМЕНТАЛЬНО-СТАТИСТИЧНЕ МОДЕЛЮВАННЯ,ЧИСЛОВі МЕТОДИ ОПТИМіЗАЦії,ESTABLISHMENT AND SCHEDULING OF INVESTMENT AND CONSTRUCTION PROJECTS,EXPERIMENTAL STATISTICAL MODELLING,NUMERICAL METHODS OF OPTIMIZATION

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average