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 clust
✦ LIBER ✦
Set partition by globally optimized cluster seed points
✍ Scribed by János Pintér; Géza Pesti
- Publisher
- Elsevier Science
- Year
- 1991
- Tongue
- English
- Weight
- 703 KB
- Volume
- 51
- Category
- Article
- ISSN
- 0377-2217
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The problem of global geometry optimization of clusters is addressed with a phenotype variant of the method of genetic algorithms, with several novel performance enhancements. The resulting algorithm is applied to Lennard-Jones clusters as benchmark system, with up to 150 atoms. The well-known, diff