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Genetic programming : an introduction ; on the automatic evolution of computer programs and its applications
Editore:
San Francisco, Calif. : Morgan Kaufmann; Heidelberg : dpunkt, Verl. für Digitale Technologie, 1998
ISBN 10: 3920993586
ISBN 13: 9783920993584
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Rilegato
Da: Roland Antiquariat UG haftungsbeschränkt, Weinheim, Germania
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Hardcover. XIX, 470 p. Good condition. The pages are clean and without markings. Slight signs of storage and use. Retired library copy with corresponding markings. Otherwise, a neat copy. 9783920993584 Sprache: Englisch Gewicht in Gramm: 1500. Codice articolo 314518
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EUR 11,50
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EUR 14,95
Da: Germania a: U.S.A.
Quantità: 1 disponibili
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Genetic programming - An Introduction: On the Automatic Evolution of Computer Programs and Its Applications
Da: Solr Books, Lincolnwood, IL, U.S.A.
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Condizione: very_good. This books is in Very good condition. There may be a few flaws like shelf wear and some light wear. Codice articolo BCV.3920993586.VG
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EUR 53,47
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EUR 6,85
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Genetic Programming, an Introduction. Automatic Evolution of Computer Programs and Its Applications (Gebundene Ausgabe) von Wolfgang Banzhaf (Autor), Peter Nordin (Autor), Robert Keller
Editore:
Dpunkt.Verlag GmbH, 1998
ISBN 10: 3920993586
ISBN 13: 9783920993584
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Rilegato
Da: BUCHSERVICE / ANTIQUARIAT Lars Lutzer, Wahlstedt, Germania
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Hardcover. Condizione: gut. 1998. Imagine a world in which computers program other computers based on strategies borrowed from biology and natural selection. Genetic ProgrammingAn Introduction explores fascinating possibilities like these in a thriving area of computer-science research. This research-quality book is for anyone who wants to see what genetic programming is and what it can offer the future of computing. This text begins by situating genetic programming in terms of the history of computing and machine learning. Early sections show the links between Darwinism, molecular biology, and genetic programming. (Genetic programming uses the strategy of natural selection by solving a problem in successive iterations, which produces the "fittest" solution, much like new species evolve in the natural world.) The authors present a lot of molecular-biology background since it is central to the genetic-programming project. (There are interesting parallels here. Just as our DNA contains inert information, programs developed using genetic algorithms usually contain many "extra" instructions, too--which often leads to bloated, though effective, code in the final product.) Even though this is extremely technical material, the authors do manage to engage the reader in the imaginative leap from Darwin and DNA to computers and the world of genetic programming. Later chapters define what genetic programming is and what strategies it uses to let computers program themselves. The authors also examine the state of the art of genetic programming and define what problems need to be solved before it can be widely adopted. The amount of research in this section will mostly benefit specialists in the genetic-programming field. A later chapter on applications that use genetic programming offers dozens of papers, with applications of this approach from a wide variety of fields, including biology, industry, and computers (and some impressive technologies such as robotics and data mining). Though the authors exaggerate somewhat on how "real world" these applications are, it's clear that genetic programming will continue to improve and find its way into more areas of computing--with even more productive results. Though coding by humans is safe for the foreseeable future, genetic programming offers an appealing alternative to some kinds of problems. Das Buch läßt fast keine Wünsche offen. Wollen wir gleich mit dem "kleinen Problem" anfangen. Was ich als einzigstes bemängel ist ein praktischer Bezug mit dem zu schreibenden Quellcode. Hätten die Autoren im Buch eine einfache Variante mal besprochen, wäre das Buch Gold wert. Nichts desto trotz, ist es eine Pflichtlektüre. Jeder GP-Operator wird auseinander genommen und seine Auswirkungen gezeigt, welche manchmal sehr gravierend sein kann. Auch die verschiedenen Arten der Datenstrukturen für GP werden erklärt (Automaten, Bäume, sequenzielle Liste). Auch ein wichtiger Teil über die Introns ist drinne, also alles was man braucht. Genetic Programming, an Introduction. Automatic Evolution of Computer Programs and Its Applications Wolfgang Banzhaf Peter Nordin Robert Keller Dpunkt.Verlag GmbH In englischer Sprache. 470 pages. 23,6 x 17,5 x 2,5 cm. Codice articolo BN3257
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EUR 49,00
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EUR 29,95
Da: Germania a: U.S.A.
Quantità: 1 disponibili