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Genetic Systems Programming : Theory and Experiences - Ajith Abraham
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Genetic Systems Programming : Theory and Experiences - Paperback

2010, ISBN: 3642067530

[EAN: 9783642067532], Neubuch, [SC: 0.0], [PU: Springer Berlin Heidelberg], PATTERNMATCHING; ALGORITHMS; CIRCUITDESIGN; COMPUTATIONALINTELLIGENCE; DATAMINING; DESIGN; EVOLUTION; EVOLUTION… More...

NEW BOOK. Shipping costs:Versandkostenfrei. (EUR 0.00) AHA-BUCH GmbH, Einbeck, Germany [51283250] [Rating: 5 (von 5)]
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Genetic Systems Programming Theory and Experiences - Abraham, Ajith (Herausgeber)
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Abraham, Ajith (Herausgeber):

Genetic Systems Programming Theory and Experiences - Paperback

2010, ISBN: 3642067530

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Softcover reprint of hardcover 1st ed. 2006 Kartoniert / Broschiert Künstliche Intelligenz, PatternMatching; algorithms; circuitdesign; ComputationalIntelligence; datamining; Design; ev… More...

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Genetic Systems Programming - Ajith Abraham
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Genetic Systems Programming - new book

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Engineering; Mathematical and Computational Engineering; Artificial Intelligence (incl. Robotics) Pattern Matching, algorithms, circuit design, computational intelligence, data mining, de… More...

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Genetic Systems Programming - Ajith Abraham
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Genetic Systems Programming - new book

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Genetic Systems Programming - Paperback

2006, ISBN: 3642067530

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Genetic Systems Programming ab 160.49 € als Taschenbuch: Theory and Experiences. Softcover reprint of hardcover 1st ed. 2006. Aus dem Bereich: Bücher, Taschenbücher, Naturwissenschaft, Sp… More...

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Genetic Systems Programming
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ISBN:

9783642067532


Designing complex programs such as operating systems, compilers, filing systems, data base systems, etc. is an old ever lasting research area. Genetic programming is a relatively new promising and growing research area. Among other uses, it provides efficient tools to deal with hard problems by evolving creative and competitive solutions. Systems Programming is generally strewn with such hard problems. This book is devoted to reporting innovative and significant progress about the contribution of genetic programming in systems programming. The contributions of this book clearly demonstrate that genetic programming is very effective in solving hard and yet-open problems in systems programming. Followed by an introductory chapter, in the remaining contributed chapters, the reader can easily learn about systems where genetic programming can be applied successfully. These include but are not limited to, information security systems, compilers, data mining systems, stock market prediction systems, robots and automatic programming.

Details of the book - Genetic Systems Programming


EAN (ISBN-13): 9783642067532
ISBN (ISBN-10): 3642067530
Hardcover
Paperback
Publishing year: 2010
Publisher: Springer-Verlag GmbH
256 Pages
Weight: 0,671 kg
Language: eng/Englisch

Book in our database since 2011-12-29T13:58:22+00:00 (London)
Detail page last modified on 2022-09-18T15:19:34+01:00 (London)
ISBN/EAN: 9783642067532

ISBN - alternate spelling:
3-642-06753-0, 978-3-642-06753-2
Alternate spelling and related search-keywords:
Book author: abraham
Book title: genetic programming

Information from Publisher

Author: Ajith Abraham
Title: Studies in Computational Intelligence; Genetic Systems Programming - Theory and Experiences
Publisher: Springer; Springer Berlin
234 Pages
Publishing year: 2010-02-12
Berlin; Heidelberg; DE
Printed / Made in
Language: English
106,99 € (DE)
109,99 € (AT)
118,00 CHF (CH)
POD
XXII, 234 p. 114 illus.

BC; Hardcover, Softcover / Technik/Allgemeines, Lexika; Mathematik für Ingenieure; Verstehen; Pattern Matching; algorithms; circuit design; computational intelligence; data mining; design; evolution; evolutionary computation; genetic algorithms; genetic programming; microcontroller; modeling; operating system; programming; robot; Mathematical and Computational Engineering Applications; Artificial Intelligence; Künstliche Intelligenz; BB

Evolutionary Computation: from Genetic Algorithms to Genetic Programming.- Automatically Defined Functions in Gene Expression Programming.- Evolving Intrusion Detection Systems.- Evolutionary Pattern Matching Using Genetic Programming.- Genetic Programming in Data Modelling.- Stock Market Modeling Using Genetic Programming Ensembles.- Evolutionary Digital Circuit Design Using Genetic Programming.- Evolving Complex Robotic Behaviors Using Genetic Programming.- Automatic Synthesis of Microcontroller Assembly Code Through Linear Genetic Programming.

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