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Genetic Algorithms in Chemistry: Success or Failure Is in the Genes

  • Conference paper
Applications of Soft Computing

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 58))

Abstract

In many areas of chemistry there are problems to which genetic algorithms (GA’s) can easily be applied. Several chemistry problems in which GA’s are used will be examined. Currently they are used mainly for the generation of regression curves, protein folding, structure elucidation, parameterizations, and system optimization. Perhaps it is the GA simplicity and ease of use that has facilitated the widespread use of the soft computing method in chemistry. This paper focuses on how GA’s have been modified to solve discipline specific problems in the chemical sciences.

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Author information

Authors and Affiliations

  1. Department of Chemistry and Physics, Armstrong Atlantic State University Savannah, GA, 31419, USA

    Clifford W. Padgett

  2. Department of Computer Science, Armstrong Atlantic State University Savannah, GA, 31419, USA

    Ashraf Saad

Authors
  1. Clifford W. Padgett
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  2. Ashraf Saad
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Editor information

Editors and Affiliations

  1. School of Applied Science (SAS) Decision Engineering Centre, Cranfield University , MK43 0AL, Cranfield, Bedfordshire, UK

    Jörn Mehnen  & Ashutosh Tiwari  & 

  2. Dept. of Artificial Intelligence Faculty of Computer Science and Systems Engineering, Kyushu Institute of Technology Kawazu , 820-8502, Iizuka, Fukuoka, Japan

    Mario Köppen

  3. Computer Science Department School of Computing, Armstrong Atlantic State University , 31419, Savannah, GA, USA

    Ashraf Saad

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© 2009 Springer-Verlag Berlin Heidelberg

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Padgett, C.W., Saad, A. (2009). Genetic Algorithms in Chemistry: Success or Failure Is in the Genes. In: Mehnen, J., Köppen, M., Saad, A., Tiwari, A. (eds) Applications of Soft Computing. Advances in Intelligent and Soft Computing, vol 58. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89619-7_18

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  • DOI: https://doi.org/10.1007/978-3-540-89619-7_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-89618-0

  • Online ISBN: 978-3-540-89619-7

  • eBook Packages: EngineeringEngineering (R0)

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