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  • Book
  • © 2008

Introduction to Genetic Algorithms

Authors:

  1. S.N. Sivanandam

    1. Professor and Head Dept. of Computer Science and Engineering, PSG College of Technology, Coimbatore - 641 004, India

    View author publications

    You can also search for this author in PubMed   Google Scholar

  2. S.N. Deepa

    1. Ph.D Scholar Dept. of Computer Science and Engineering, PSG College of Technology, Coimbatore - 641 004, India

    View author publications

    You can also search for this author in PubMed   Google Scholar

  • Basic introduction to Genetic Algorithms

  • contains basic concepts, several applications of Genetic Algorithms and solved Genetic Problems using MATLAB software and C/C++

  • Written for a wide range of readers, who wishes to learn the basic concepts of Genetic Algorithms

  • Starters can understand the concepts with a minimal effort

  • Includes supplementary material: sn.pub/extras

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Table of contents (11 chapters)

  1. Front Matter

    Pages I-XIX
    PDF

  2. Evolutionary Computation

    • S.N. Sivanandam, S.N. Deepa
    Pages 1-13

  3. Genetic Algorithms

    • S.N. Sivanandam, S.N. Deepa
    Pages 15-37

  4. Terminologies and Operators of GA

    • S.N. Sivanandam, S.N. Deepa
    Pages 39-81

  5. Advanced Operators and Techniques in Genetic Algorithm

    • S.N. Sivanandam, S.N. Deepa
    Pages 83-104

  6. Classification of Genetic Algorithm

    • S.N. Sivanandam, S.N. Deepa
    Pages 105-129

  7. Genetic Programming

    • S.N. Sivanandam, S.N. Deepa
    Pages 131-163

  8. Genetic Algorithm Optimization Problems

    • S.N. Sivanandam, S.N. Deepa
    Pages 165-209

  9. Genetic Algorithm Implementation Using Matlab

    • S.N. Sivanandam, S.N. Deepa
    Pages 211-262

  10. Genetic Algorithm Optimization in C/C++

    • S.N. Sivanandam, S.N. Deepa
    Pages 263-316

  11. Applications of Genetic Algorithms

    • S.N. Sivanandam, S.N. Deepa
    Pages 317-402

  13. Back Matter

    Pages 425-442
    PDF
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About this book

Theoriginofevolutionaryalgorithmswasanattempttomimicsomeoftheprocesses taking place in natural evolution. Although the details of biological evolution are not completely understood (even nowadays), there exist some points supported by strong experimental evidence: • Evolution is a process operating over chromosomes rather than over organisms. The former are organic tools encoding the structure of a living being, i.e., a cr- ture is “built” decoding a set of chromosomes. • Natural selection is the mechanism that relates chromosomes with the ef ciency of the entity they represent, thus allowing that ef cient organism which is we- adapted to the environment to reproduce more often than those which are not. • The evolutionary process takes place during the reproduction stage. There exists a large number of reproductive mechanisms in Nature. Most common ones are mutation (that causes the chromosomes of offspring to be different to those of the parents) and recombination (that combines the chromosomes of the parents to produce the offspring). Based upon the features above, the three mentioned models of evolutionary c- puting were independently (and almost simultaneously) developed.
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Keywords

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Authors and Affiliations

  • Professor and Head Dept. of Computer Science and Engineering, PSG College of Technology, Coimbatore - 641 004, India

    S.N. Sivanandam

  • Ph.D Scholar Dept. of Computer Science and Engineering, PSG College of Technology, Coimbatore - 641 004, India

    S.N. Deepa

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Bibliographic Information

  • Book Title: Introduction to Genetic Algorithms

  • Authors: S.N. Sivanandam, S.N. Deepa

  • DOI: https://doi.org/10.1007/978-3-540-73190-0

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2008

  • Hardcover ISBN: 978-3-540-73189-4Published: 09 October 2007

  • Softcover ISBN: 978-3-642-09224-4Published: 15 October 2010

  • eBook ISBN: 978-3-540-73190-0Published: 24 October 2007

  • Edition Number: 1

  • Number of Pages: XIX, 442

  • Topics: Mathematical and Computational Engineering, Artificial Intelligence

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Buy it now

eBook USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

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