genetic programming introduction di banzhaf wolfgang (13 risultati)

Hardcover. Condizione: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Condizione: Good. Used book that is in clean, average condition without any missing pages.

Condizione: Good. Former library book; may include library markings. Used book that is in clean, average condition without any missing pages.

Hardcover. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!

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.

Condizione: Muy Bueno. 506. Morgan Kaufmann, 1997, 506pp, Tapa dura, 1. Sello exlibris, fecha y lugar a Bolígrafo en anteportada. Precio y lugar de la compra a bolígrafo en la última página de servicio del libro, Subrayados a lápiz.

Condizione: very_good. This books is in Very good condition. There may be a few flaws like shelf wear and some light wear.

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.

Hardcover. Condizione: New. In shrink wrap. Looks like an interesting title!

Hardcover. Condizione: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks.

Hardcover. Condizione: New.

Hardcover. Condizione: Brand New. 470 pages. 9.75x7.75x1.25 inches. In Stock.

Hardback. Condizione: New. New copy - Usually dispatched within 4 working days. 1083.