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Эволюционный детерминированный алгоритм глобальной оптимизации атомных кластеров Морса

Эволюционный детерминированный алгоритм глобальной оптимизации атомных кластеров Морса

Abstract

В статье предлагается новый эволюционный детерминированный алгоритм глобальной оптимизации геометрических структур кластеров Морса. Эвристики, используемые в алгоритме, основанные на специфических особенностях решаемой задачи, позволили обеспечить ему полиномиальную сложность. Приводятся результаты вычислительных экспериментов, подтверждающие эффективность предложенного подхода при решении задачи поиска атомных кластеров Морса с минимальной энергией.

In this paper we propose a new deterministic evolutionary algorithm for global optimization of Morse clusters. The algorithm has been proven to possess the polynomial efficiency due to the problem-specific heuristics applied. We illustrate the effectiveness of the approach by a set of test problems in structural Morse cluster optimization.

Keywords

КЛАСТЕРЫ МОРСА, ПОТЕНЦИАЛЬНАЯ ФУНКЦИЯ МОРСА, ГЕОМЕТРИЧЕСКИЕ СТРУКТУРЫ, ГЛОБАЛЬНАЯ ОПТИМИЗАЦИЯ, ПОПУЛЯЦИЯ КОНФОРМАЦИЙ

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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
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