A Field Guide to Genetic Programming

A Field Guide to Genetic Programming

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Genetic programming (GP) is a systematic, domain-independent method for getting computers to solve problems automatically starting from a high-level statement of what needs to be done. Using ideas from natural evolution, GP starts from an ooze of random computer programs, and progressively refines them through processes of mutation and sexual recombination, until high-fitness solutions emerge. All this without the user having to know or specify the form or structure of solutions in advance. GP has generated a plethora of human-competitive results and applications, including novel scientific discoveries and patentable inventions. This unique overview of this exciting technique is written by three of the most active scientists in GP. See www.gp-field-guide.org.uk for more information on the book.halting program, Markov chain model, 100 introns search spaces, 99 thesis write up, 139 time series, financial, . guidelines, applications, 111 halting probability, 100 Java, 64 T7, 64 SIMD and GPU, 92 Hamming distance, 71 hardware implementations of GP, ... B.4) troubleshooting, 136 useful with mutation, 64 invention, evolution of, 119 inverse kinematics, 115 inverse problem, 112 iterated functionsanbsp;...


Title:A Field Guide to Genetic Programming
Author:
Publisher:Lulu.com - 2008
ISBN-13:

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