Global geometry optimization of clusters using a growth strategy optimized by a genetic algorithm

Bernd Hartke

doi:10.1016/0009-2614(95)00587-t

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Global geometry optimization of clusters using a growth strategy optimized by a genetic algorithm

Bernd Hartke

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Abstract

A new strategy for global geometry optimization of clusters is presented. Important features are a restriction of search space to favorable nearest-neighbor distance ranges, a suitable cluster growth representation with diminished correlations, and easy transferability of the results to larger clusters. The strengths and possible limitations of the method are demonstrated for Si10 using an empirical potential.

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Bernd Hartke. 1995-05-24. Global geometry optimization of clusters using a growth strategy optimized by a genetic algorithm. https://doi.org/10.1016/0009-2614(95)00587-t

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