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Инструментальная Среда для Исследования Эволюционных Стратегий с Использованием Нейросетевых Метамоделей

Инструментальная Среда для Исследования Эволюционных Стратегий с Использованием Нейросетевых Метамоделей

Abstract

В статье представлена инструментальная среда для исследования эволюционных стратегий, которые используют механизм аппроксимации целевой функции с помощью аппарата нейронных сетей. Приводится описание алгоритма эволюционной стратегии и подходы к построению метамоделей. Рассмотрены существующие на сегодняшний день алгоритмы оптимизации на основе эволюционных стратегий и метамоделей. Отмечается актуальность применения механизмов адаптации в таких алгоритмах. Описаны основные функции и возможности инструментальной среды. Средством реализации является программный пакет MatLab v.7.1.

Keywords

Оптимизация, Нейронная Сеть, Метамодель, Эволюционная Стратегия, Инструментальная Среда

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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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
Green