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Genetic Algorithms in Molecular Modeling

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  • 327 pages
  • 12 hours of reading

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Exploring the intersection of genetic algorithms and molecular modeling, this book delves into innovative computational techniques for solving complex molecular problems. It presents theoretical foundations alongside practical applications, offering insights into how genetic algorithms can optimize molecular structures and predict interactions. The text is enriched with case studies and examples, making it a valuable resource for researchers and practitioners in computational chemistry and molecular biology seeking to enhance their modeling strategies.

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Genetic Algorithms in Molecular Modeling, James Devillers

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Released
1996
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(Hardcover)
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