Genetic Programming I-II : Automatic Discovery by John R. Koza (2 Hardcover)

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N.º de artículo de eBay:317172616502

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Estado
En muy buen estado: Libro que se ha leído y que no tiene un aspecto nuevo, pero que está en un ...
ISBN
9780262111898
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Product Identifiers

Publisher
MIT Press
ISBN-10
0262111896
ISBN-13
9780262111898
eBay Product ID (ePID)
61219

Product Key Features

Number of Pages
768 Pages
Language
English
Publication Name
Genetic Programming II : Automatic Discovery of Reusable Programs
Publication Year
1994
Subject
Intelligence (Ai) & Semantics, Life Sciences / Genetics & Genomics
Type
Textbook
Author
John R. Koza
Subject Area
Computers, Science
Series
Complex Adaptive Systems Ser.
Format
Hardcover

Dimensions

Item Height
1.9 in
Item Weight
56.6 Oz
Item Length
10.2 in
Item Width
7.4 in

Additional Product Features

Intended Audience
Scholarly & Professional
LCCN
94-076375
Dewey Edition
20
Grade From
College Graduate Student
Illustrated
Yes
Dewey Decimal
006.3/1
Synopsis
Genetic Programming II extends the results of John Koza's ground-breaking work on programming by means of natural selection, described in his first book, Genetic Programming. Using a hierarchical approach, Koza shows that complex problems can be solved by breaking them down into smaller, simpler problems using the recently developed technique of automatic function definition in the context of genetic programming.Where conventional techniques of machine learning and artificial intelligence fail to provide an effective means for automatically handling the process of decomposing complex problems into smaller subsets, reassembling the solutions to these subsets, and applying an overall solution to the original problem, automatic function definition enables genetic programming to define useful and reusable subroutines dynamically. Koza illustrates this new technique by showing how it solves (or approximately solves) a variety of problems in Boolean function learning, symbolic regression, control, pattern recognition, robotics, classification, and molecular biology.In each example, the problem is automatically decomposed into subproblems; the subproblems are automatically solved; and the solutions to the subproblems are automatically assembled into a solution to the original problem. Koza shows that leverage accrues because genetic programming with automatic function definition repeatedly uses the solutions to the subproblems in the assembly of the solution to the overall problem. Moreover, genetic programming with automatic function definition produces solutions that are simpler and smaller than the solution obtained without automatic function definition.
LC Classification Number
QA76.6.K693 1994

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