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Embedding optimisation algorithms with Mosel

✍ Scribed by Tito A. Ciriani; Yves Colombani; Susanne Heipcke


Book ID
106308091
Publisher
Springer
Year
2003
Tongue
English
Weight
107 KB
Volume
1
Category
Article
ISSN
1619-4500

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Optimisation of metric matrix embedding
✍ A. H. C. Kampen; L. M. C. Buydens; C. B. Lucasius; M. J. J. Blommers πŸ“‚ Article πŸ“… 1996 πŸ› Springer Netherlands 🌐 English βš– 987 KB

To improve the convergence properties of 'embedding' distance geometry, a new approach was developed by combining the distance-geometry methodology with a genetic algorithm. This new approach is called DG-OMEGA (DGfL optimised metric matrix embedding by genetic algorithms). The genetic algorithm was