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An Introduction to Genetic Algorithms (Complex Adaptive Systems) Paperback – 8 Apr 1998

3.5 out of 5 stars 8 customer reviews

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Product details

  • Paperback: 218 pages
  • Publisher: MIT Press; New Ed edition (8 April 1998)
  • Language: English
  • ISBN-10: 0262631857
  • ISBN-13: 978-0262631853
  • Product Dimensions: 17.3 x 1.3 x 25.1 cm
  • Average Customer Review: 3.5 out of 5 stars 8 customer reviews
  • Amazon Bestsellers Rank: 556,944 in Books (See Top 100 in Books)
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Product description

Review

This is a useful introduction to the subject and is well worth reading as an entry into evolutionary computing.

--Chris Robbins, Computing

Synopsis

Genetic algorithms have been used in science and engineering as adaptive algorithms for solving practical problems and as computational models of natural evolutionary systems. This introduction describes research in the field and also enables readers to implement and experiment with genetic algorithms on their own. The book focuses in depth on a small set of important topics - particularly in machine learning, scientific modelling and artificial life - and reviews a broad span of research, including the work of Mitchell and her colleagues. The descriptions of applications and modelling projects stretch beyond the strict boundaries of computer science to include dynamic systems theory, game theory, molecular biology, ecology, evolutionary biology and population genetics.

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Top customer reviews

13 August 2017
Format: Hardcover|Verified Purchase
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27 October 2016
Format: Paperback|Verified Purchase
2 December 2015
Format: Kindle Edition|Verified Purchase
13 August 1998
Format: Hardcover
6 people found this helpful
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17 October 1998
Format: Hardcover
15 people found this helpful
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21 May 2002
Format: Paperback
9 people found this helpful
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27 May 1999
Format: Paperback
26 April 2002
Format: Paperback
8 people found this helpful
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