Genetic Programming III: Darwinian Invention and Problem Solving

Koza, John R.; Bennett III, Forrest H.; Andre, David; Keane, Martin A.

ISBN 10: 1558605436 / ISBN 13: 9781558605435

Verlag: Morgan Kaufmann (edition 1), 1999

Beschreibung

It's a preowned item in good condition and includes all the pages. It may have some general signs of wear and tear, such as markings, highlighting, slight damage to the cover, minimal wear to the binding, etc., but they will not affect the overall reading experience.

Bestandsnummer des Verkäufers 1558605436-11-1

Bibliografische Details

• Titel: Genetic Programming III: Darwinian Invention and Problem Solving
• Verlag: Morgan Kaufmann (edition 1)
• Erscheinungsjahr: 1999
• Sprache: Englisch
• ISBN-10: 1558605436
• ISBN-13: 9781558605435
• Einband: Hardcover
• Auflage: 1.
• Zustand: Good

Über diesen Titel

Inhaltsangabe

Genetic programming is a method for getting a computer to solve a problem by telling it what needs to be done instead of how to do it. Koza, Bennett, Andre, and Keane present genetically evolved solutions to dozens of problems of design, optimal control, classification, system identification, function learning, and computational molecular biology. Among the solutions are 14 results competitive with human-produced results, including 10 rediscoveries of previously patented inventions. Researchers in artificial intelligence, machine learning, evolutionary computation, and genetic algorithms will find this an essential reference to the most recent and most important results in the rapidly growing field of genetic programming. This work: explains how the success of genetic programming arises from seven fundamental differences distinguishing it from conventional approaches to artificial intelligence and machine learning; describes how genetic programming uses architecture-altering operations to make on-the-fly decisions on whether to use subroutines, loops, recursions, and memory; demonstrates that genetic programming possesses 16 attributes that can reasonably be expected of a system for automatically creating computer programs; and presents the general-purpose Genetic Programming Problem Solver. It focuses on the previously unsolved problem of analog circuit synthesis, presenting genetically evolved filters, amplifiers, computational circuits, a robot controller circuit, source identification circuits, a temperature-measuring circuit, a voltage reference circuit, and more; introduces evolvable hardware in the form of field-programmable gate arrays; and, includes an introduction to genetic programming for the uninitiated.

Über die Autorin bzw. den Autor

John R. Koza is a consulting professor in the Section on Medical Informatics, Department of Medicine, School of Medicine at Stanford University. Forrest H Bennett III is chief scientist of Genetic Programming Inc., Los Altos, California. David Andre is a Ph.D. student in the Computer Science Division at the University of California at Berkeley. Martin A. Keane is chief scientist of Econometrics, Inc., Chicago. Scott Brave is a research assistant in the Tangible Media Group at the MIT Media Laboratory.