Logo

Genetic Programming: New Approaches and Successful Applications

Small book cover: Genetic Programming: New Approaches and Successful Applications

Genetic Programming: New Approaches and Successful Applications
by

Publisher: InTech
ISBN-13: 9789535108092
Number of pages: 284

Description:
Genetic programming (GP) is a branch of Evolutionary Computing that aims the automatic discovery of programs to solve a given problem. Since its appearance, in the earliest nineties, GP has become one of the most promising paradigms for solving problems in the artificial intelligence field, producing a number of human-competitive results and even patentable new inventions.

Home page url

Download or read it online for free here:
Download link
(6.5MB, PDF)

Similar books

Book cover: Evolved to WinEvolved to Win
by - Lulu.com
Moshe Sipper and his group have produced a plethora of award-winning results, in numerous games of diverse natures, evidencing the efficiency of evolutionary algorithms in general at producing top-notch, human-competitive game strategies.
(10390 views)
Book cover: A Field Guide to Genetic ProgrammingA Field Guide to Genetic Programming
by - Lulu.com
This book is an introduction to genetic programming GP is a systematic method for getting computers to solve problems automatically starting from a high-level statement of what needs to be done. GP has generated lots of results and applications.
(17919 views)
Book cover: Advances in Genetic Programming, Vol. 3Advances in Genetic Programming, Vol. 3
by - The MIT Press
Genetic programming is a form of evolutionary computation that evolves programs and program-like executable structures for developing reliable applications. This volume highlights the recent technical advances in this increasingly popular field.
(11223 views)
Book cover: Global Optimization Algorithms: Theory and ApplicationGlobal Optimization Algorithms: Theory and Application
by
The book on global optimization algorithms - methods to find optimal solutions for given problems. It focuses on evolutionary algorithms, genetic algorithms, genetic programming, learning classifier systems, evolution strategy, etc.
(16413 views)