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Genetic Programming Theory and Practice V
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Genetic Programming Theory and Practice V - hardcover

2008, ISBN: 9780387763071

Gebunden, 296 Seiten, 241mm x 160mm x 21mm, Sprache(n): eng Discusses hurdles in solving large-scale applicationsDescribes techniques including fitness and age layered populations, code r… More...

Shipping costs:Versandkostenfrei innerhalb der BRD. (EUR 0.00) MARZIES Buch- und Medienhandel, 14621 Schönwalde-Glien
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Genetic Programming Theory and Practice V - Riolo, Rick (Herausgeber); Worzel, Bill (Herausgeber); Soule, Terence (Herausgeber)
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Riolo, Rick (Herausgeber); Worzel, Bill (Herausgeber); Soule, Terence (Herausgeber):

Genetic Programming Theory and Practice V - hardcover

2008, ISBN: 0387763074

2008 Gebundene Ausgabe Intelligenz / Künstliche Intelligenz, KI, Künstliche Intelligenz - AI, Programmieren (EDV) / Evolutionär, Computerprogrammierung und Softwareentwicklung, Theoreti… More...

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Genetic Programming Theory and Practice V - Riolo, Rick, Terence Soule und Bill Worzel
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Riolo, Rick, Terence Soule und Bill Worzel:
Genetic Programming Theory and Practice V - hardcover

2008

ISBN: 0387763074

[EAN: 9780387763071], Gebraucht, guter Zustand, [SC: 7.72], [PU: Springer US], ALGORITHMS,ARTIFICIAL INTELLIGENCE,EVOLUTION,MODELING,BIOINFORMATICS,GENETIC PROGRAMMING,EVOLUTIONARY COMPUT… More...

NOT NEW BOOK. Shipping costs: EUR 7.72 Buchpark, Trebbin, Germany [83435977] [Rating: 5 (von 5)]
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Riolo, Rick, Terence Soule und Bill Worzel:
Genetic Programming Theory and Practice V - hardcover

2008, ISBN: 0387763074

[EAN: 9780387763071], Gebraucht, guter Zustand, [PU: Springer US], ALGORITHMS,ARTIFICIAL INTELLIGENCE,EVOLUTION,MODELING,BIOINFORMATICS,GENETIC PROGRAMMING,EVOLUTIONARY COMPUTATION,PROGRA… More...

NOT NEW BOOK. Shipping costs:Versandkostenfrei. (EUR 0.00) Buchpark, Trebbin, Germany [83435977] [Rating: 5 (von 5)]
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Genetic Programming Theory and Practice V 2008 - Rick Riolo, Terence Soule, Bill Worzel
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Rick Riolo, Terence Soule, Bill Worzel:
Genetic Programming Theory and Practice V 2008 - used book

2008, ISBN: 9780387763071

2008 Neubindung, Frontcover leicht zerkratzt, Ausgabe 2008, Buchschnitt verkürzt 3968036/12 Versandkostenfreie Lieferung Algorithms, artificial, intelligence, evolution, modeling, bioin… More...

Shipping costs:Versandkostenfrei innerhalb der BRD. (EUR 0.00) Buchpark GmbH, 14959 Trebbin
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Genetic Programming Theory and Practice V by Rick Riolo Hardcover | Indigo Chapters
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ISBN:

9780387763071


Genetic Programming Theory and Practice V was developed from the fifth workshop at the University of Michigan's Center for the Study of Complex Systems. It aims to facilitate the exchange of ideas and information related to the rapidly advancing field of Genetic Programming (GP). This volume is a unique and indispensable tool for academics, researchers and industry professionals involved in GP, evolutionary computation, machine learning and artificial intelligence.

Details of the book - Genetic Programming Theory and Practice V by Rick Riolo Hardcover | Indigo Chapters


EAN (ISBN-13): 9780387763071
ISBN (ISBN-10): 0387763074
Hardcover
Publishing year: 2008
Publisher: Rick Riolo
279 Pages
Weight: 0,581 kg
Language: eng/Englisch

Book in our database since 2007-09-30T02:11:47+01:00 (London)
Detail page last modified on 2024-02-18T15:26:40+00:00 (London)
ISBN/EAN: 9780387763071

ISBN - alternate spelling:
0-387-76307-4, 978-0-387-76307-1
Alternate spelling and related search-keywords:
Book author: bill, riolo, wörz, rick, worzel
Book title: theory computation, genetic programming theory practice, the practice programming

Information from Publisher

Author: Rick Riolo; Terence Soule; Bill Worzel
Title: Genetic and Evolutionary Computation; Genetic Programming Theory and Practice V
Publisher: Springer; Springer US
279 Pages
Publishing year: 2008-01-11
New York; NY; US
Language: English
106,99 € (DE)
109,99 € (AT)
118,00 CHF (CH)
Available
XIV, 279 p.

BB; Hardcover, Softcover / Informatik, EDV/Informatik; Künstliche Intelligenz; Verstehen; Algorithms; Multi-agent system; artificial intelligence; bioinformatics; circuit design; classification; evolution; evolutionary computation; genetic programming; genetics; machine learning; modeling; programming; proving; robot; algorithm analysis and problem complexity; Artificial Intelligence; Theory of Computation; Algorithms; Programming Techniques; Theoretische Informatik; Algorithmen und Datenstrukturen; Computerprogrammierung und Softwareentwicklung; EA; BC

Genetic Programming Theory and Practice V was developed from the fifth workshop at the University of Michigan’s Center for the Study of Complex Systems to facilitate the exchange of ideas and information related to the rapidly advancing field of Genetic Programming (GP). Contributions from the foremost international researchers and practitioners in the GP arena examine the similarities and differences between theoretical and empirical results on real-world problems. The text explores the synergy between theory and practice, producing a comprehensive view of the state of the art in GP application. Specific topics addressed in the book include: the hurdles faced in solving large-scale, cutting edge applications promising techniques, including fitness and age layered populations, code reuse through caching, archives and run transferable libraries, Pareto optimization, and pre- and post-processing the use of information theoretic measures and ensemble techniques approaches to help GP create trustable solutions the use of expert knowledge to guide GP ways to make GP tools more accessible to the non-GP-expert practical methods for understanding and choosing between the recent proliferation of techniques for improving GP performance the potential for GP to undergo radical changes to accommodate the expanded understanding of biological genetics and evolution The work covers applications of GP to a wide variety of domains, including bioinformatics, symbolic regression for system modeling, financial modeling, circuit design and robot controllers. This volume is a unique and indispensable tool for academics, researchers and industry professionals involved in GP, evolutionary computation, machine learning and artificial intelligence.
Discusses hurdles in solving large-scale applications Describes techniques including fitness and age layered populations, code reuse through caching, archives and libraries, Pareto optimization, pre- and post-processing, the use of expert knowledge and information-theoretic fitness measures Addresses practical methods for choosing between techniques for improving GP performance and to evolve trustable solutions
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