%0 Book %1 poli-field-guide-to-2008 %A Poli, Riccardo %A Langdon, William B. %A McPhee, Nicholas Freitag %D 2008 %I Published via http://lulu.com and freely available at http://www.gp-field-guide.org.uk %K ai alife genetic programming %T A field guide to genetic programming %U http://www.gp-field-guide.org.uk %X 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. Table of Contents 1 Introduction 1.1 Genetic Programming in a Nutshell 1.2 Getting Started 1.3 Prerequisites 1.4 Overview of this Field Guide Part I Basics 2 Representation, Initialisation and Operators in Tree-based GP 2.1 Representation 2.2 Initialising the Population 2.3 Selection 2.4 Recombination and Mutation

@book{poli-field-guide-to-2008, abstract = {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. Table of Contents 1 Introduction 1.1 Genetic Programming in a Nutshell 1.2 Getting Started 1.3 Prerequisites 1.4 Overview of this Field Guide Part I Basics 2 Representation, Initialisation and Operators in Tree-based GP 2.1 Representation 2.2 Initialising the Population 2.3 Selection 2.4 Recombination and Mutation}, added-at = {2010-06-28T21:48:06.000+0200}, author = {Poli, Riccardo and Langdon, William B. and McPhee, Nicholas Freitag}, biburl = {https://www.bibsonomy.org/bibtex/2f48362d42a42bda317f0bbc62617bec4/mhwombat}, file = {:genetic_programming/FieldGuideToGeneticProgramming.pdf:PDF}, groups = {public}, interhash = {938fd34df032d412c170727b7ccbdc9a}, intrahash = {f48362d42a42bda317f0bbc62617bec4}, isbn13 = {978-1-4092-0073-4}, keywords = {ai alife genetic programming}, note = {(With contributions by J. R. Koza)}, notes = {http://www.gp-field-guide.org.uk/}, publisher = {Published via \texttt{http://lulu.com} and freely available at \texttt{http://www.gp-field-guide.org.uk}}, size = {250 pages}, timestamp = {2016-07-12T19:25:30.000+0200}, title = {A field guide to genetic programming}, url = {http://www.gp-field-guide.org.uk}, username = {mhwombat}, year = 2008 }