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Protein Structure Prediction Using Parallel Linkage Investigating Genetic Algorithms (Paperback or Softback)
Language: English
Published by Biblioscholar 10/29/2012, 2012
ISBN 10: 1288228384 ISBN 13: 9781288228386
Paperback or Softback. Condition: New. Protein Structure Prediction Using Parallel Linkage Investigating Genetic Algorithms. Book.
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Condition: As New. Unread book in perfect condition.
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Protein Structure Prediction Using Parallel Linkage Investigating Genetic Algorithms
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
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Protein Structure Prediction Using Parallel Linkage Investigating Genetic Algorithms
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
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Protein Structure Prediction Using Parallel Linkage Investigating Genetic Algorithms
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Kartoniert / Broschiert. Condition: New. KlappentextrnrnThe tertiary structure determines the protein s functionality. Genetic algorithms (GAs) are stochastic search routines that are capable of providing solutions to intractable problems. The use of GAs plays an important part in the .
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Protein Structure Prediction Using Parallel Linkage Investigating Genetic Algorithms
Language: English
Published by Biblioscholar Okt 2012, 2012
ISBN 10: 1288228384 ISBN 13: 9781288228386
Taschenbuch. Condition: Neu. Neuware - The tertiary structure determines the protein's functionality. Genetic algorithms (GAs) are stochastic search routines that are capable of providing solutions to intractable problems. The use of GAs plays an important part in the search for near optimal solutions in large search spaces. The PSP solution landscape is so large and complex that deterministic methods flounder due to the combinatoric issues involved with enumerating these massive search spaces. This makes the GA an ideal candidate for finding solutions to the PSP problem. This is an engineering investigation into the effectiveness and efficiency of the Linkage Learning GA (LLGA) applied to the PSP problem. The LLGA implementations takes explicit advantage of 'tight linkages' early enough in its algorithmic processing to overcome the disruptive effects of crossover. The LLGA is integrated with the previously developed and tested AFIT CHARMm energy model software. Furthermore, a parallel version, pLLGA, is developed using a data partitioning scheme to 'farm out' the CHARMm evaluations. Portability across AFIT's heterogeneous ABC Beowulf system, distributed networks, and massively parallel platforms is accomplished through the use of object-oriented C++ and the Message Passing Interface (MPI). This model improves the efficiency of the LLGA algorithm. Ramachandran developed constraints are incorporated into the LLGA to exploit domain knowledge in order to improve the effectiveness of the search technique. This approach, constrained-LLGA (cLLGA), has been parallelized using the same decomposition as the pLLGA. This new implementation is called the constrained-parallel LLGA (cpLLGA).
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Protein Structure Prediction Using Parallel Linkage Investigating Genetic Algorithms
Language: English
Published by British Library, Historical Print Editions, 2012
ISBN 10: 1288228384 ISBN 13: 9781288228386
PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Protein Structure Prediction Using Parallel Linkage Investigating Genetic Algorithms
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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Add to basketPAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Condition: New. Print on Demand pp. 214.
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Condition: New. Print on Demand pp. 214.
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Condition: New. PRINT ON DEMAND pp. 214.
