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Illustrating evolutionary computation with Mathematica

Author: Christian Jacob
Publisher: San Francisco : Morgan Kaufmann Pub., ©2001.
Series: Evolutionary Computation Ser.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
An essential capacity of intelligence is the ability to learn. An artificially intelligent system that could learn would not have to be programmed for every eventuality; it could adapt to its changing environment and conditions just as biological systems do. Illustrating Evolutionary Computation with Mathematica introduces evolutionary computation to the technically savvy reader who wishes to explore this  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Jacob, Christian.
Illustrating evolutionary computation with Mathematica.
San Francisco : Morgan Kaufmann Pub., ©2001
(DLC) 00048385
(OCoLC)45064744
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Christian Jacob
ISBN: 0585457077 9780585457079 9781558606371 1558606378
OCLC Number: 52610476
Reproduction Notes: Electronic reproduction. [S.l.] : HathiTrust Digital Library, 2010. MiAaHDL
Description: 1 online resource (xvii, 578 pages) : illustrations.
Details: Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002.
Contents: Part 1: Fascinating Evolution --
Part 2: Evolutionary Computation --
Part 3: If Darwin was a Programmer --
Part 4: Evolution of Developmental Programs.
Series Title: Evolutionary Computation Ser.
Other Titles: Principia evolvica.
Responsibility: Christian Jacob ; translated from the German by Christian Jacob.
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Abstract:

Providing an introduction to evolutionary computation, this book explains the major branches of evolutionary computation: genetic algorithms, genetic programming, evolutionary programming, and  Read more...

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"This book provides a thorough survey of evolutionary computation techniques, including genetic algorithms, genetic programming, evolutionary programming, and evolution strategies. The author uses Read more...

 
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