Genetic Programming Iv PDF Download
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Author | : John R. Koza |
Publisher | : Springer Science & Business Media |
Total Pages | : 626 |
Release | : 2005-03-21 |
Genre | : Computers |
ISBN | : 9780387250670 |
Download Genetic Programming IV Book in PDF, ePub and Kindle
Genetic Programming IV: Routine Human-Competitive Machine Intelligence presents the application of GP to a wide variety of problems involving automated synthesis of controllers, circuits, antennas, genetic networks, and metabolic pathways. The book describes fifteen instances where GP has created an entity that either infringes or duplicates the functionality of a previously patented 20th-century invention, six instances where it has done the same with respect to post-2000 patented inventions, two instances where GP has created a patentable new invention, and thirteen other human-competitive results. The book additionally establishes: GP now delivers routine human-competitive machine intelligence GP is an automated invention machine GP can create general solutions to problems in the form of parameterized topologies GP has delivered qualitatively more substantial results in synchrony with the relentless iteration of Moore's Law
Author | : John R. Koza |
Publisher | : Springer Science & Business Media |
Total Pages | : 607 |
Release | : 2005-09-14 |
Genre | : Computers |
ISBN | : 0387264175 |
Download Genetic Programming IV Book in PDF, ePub and Kindle
Genetic Programming IV: Routine Human-Competitive Machine Intelligence presents the application of GP to a wide variety of problems involving automated synthesis of controllers, circuits, antennas, genetic networks, and metabolic pathways. The book describes fifteen instances where GP has created an entity that either infringes or duplicates the functionality of a previously patented 20th-century invention, six instances where it has done the same with respect to post-2000 patented inventions, two instances where GP has created a patentable new invention, and thirteen other human-competitive results. The book additionally establishes: GP now delivers routine human-competitive machine intelligence GP is an automated invention machine GP can create general solutions to problems in the form of parameterized topologies GP has delivered qualitatively more substantial results in synchrony with the relentless iteration of Moore's Law
Author | : John R. Koza |
Publisher | : Springer Science & Business Media |
Total Pages | : 632 |
Release | : 2003-07-31 |
Genre | : Computers |
ISBN | : 9781402074462 |
Download Genetic Programming IV Book in PDF, ePub and Kindle
Genetic Programming IV: Routine Human-Competitive Machine Intelligence presents the application of GP to a wide variety of problems involving automated synthesis of controllers, circuits, antennas, genetic networks, and metabolic pathways. The book describes fifteen instances where GP has created an entity that either infringes or duplicates the functionality of a previously patented 20th-century invention, six instances where it has done the same with respect to post-2000 patented inventions, two instances where GP has created a patentable new invention, and thirteen other human-competitive results. The book additionally establishes: GP now delivers routine human-competitive machine intelligence GP is an automated invention machine GP can create general solutions to problems in the form of parameterized topologies GP has delivered qualitatively more substantial results in synchrony with the relentless iteration of Moore's Law
Author | : Michael O'Neill |
Publisher | : Springer Science & Business Media |
Total Pages | : 157 |
Release | : 2012-12-06 |
Genre | : Computers |
ISBN | : 1461504473 |
Download Grammatical Evolution Book in PDF, ePub and Kindle
Grammatical Evolution: Evolutionary Automatic Programming in an Arbitrary Language provides the first comprehensive introduction to Grammatical Evolution, a novel approach to Genetic Programming that adopts principles from molecular biology in a simple and useful manner, coupled with the use of grammars to specify legal structures in a search. Grammatical Evolution's rich modularity gives a unique flexibility, making it possible to use alternative search strategies - whether evolutionary, deterministic or some other approach - and to even radically change its behavior by merely changing the grammar supplied. This approach to Genetic Programming represents a powerful new weapon in the Machine Learning toolkit that can be applied to a diverse set of problem domains.
Author | : John R. Koza |
Publisher | : MIT Press |
Total Pages | : 856 |
Release | : 1992 |
Genre | : Computers |
ISBN | : 9780262111706 |
Download Genetic Programming Book in PDF, ePub and Kindle
In this ground-breaking book, John Koza shows how this remarkable paradigm works and provides substantial empirical evidence that solutions to a great variety of problems from many different fields can be found by genetically breeding populations of computer programs. Genetic programming may be more powerful than neural networks and other machine learning techniques, able to solve problems in a wider range of disciplines. In this ground-breaking book, John Koza shows how this remarkable paradigm works and provides substantial empirical evidence that solutions to a great variety of problems from many different fields can be found by genetically breeding populations of computer programs. Genetic Programming contains a great many worked examples and includes a sample computer code that will allow readers to run their own programs.In getting computers to solve problems without being explicitly programmed, Koza stresses two points: that seemingly different problems from a variety of fields can be reformulated as problems of program induction, and that the recently developed genetic programming paradigm provides a way to search the space of possible computer programs for a highly fit individual computer program to solve the problems of program induction. Good programs are found by evolving them in a computer against a fitness measure instead of by sitting down and writing them.
Author | : John R. Koza |
Publisher | : Morgan Kaufmann |
Total Pages | : 1516 |
Release | : 1999 |
Genre | : Computers |
ISBN | : 9781558605435 |
Download Genetic Programming III Book in PDF, ePub and Kindle
Genetic programming (GP) 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, control, classification, system identification, and computational molecular biology. Among the solutions are 14 results competitive with human-produced results, including 10 rediscoveries of previously patented inventions.
Author | : |
Publisher | : Lulu.com |
Total Pages | : 252 |
Release | : 2008 |
Genre | : Computers |
ISBN | : 1409200736 |
Download A Field Guide to Genetic Programming Book in PDF, ePub and Kindle
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.
Author | : John R. Koza |
Publisher | : Springer |
Total Pages | : 590 |
Release | : 2005-03-21 |
Genre | : Computers |
ISBN | : 9780387250670 |
Download Genetic Programming IV Book in PDF, ePub and Kindle
Genetic Programming IV: Routine Human-Competitive Machine Intelligence presents the application of GP to a wide variety of problems involving automated synthesis of controllers, circuits, antennas, genetic networks, and metabolic pathways. The book describes fifteen instances where GP has created an entity that either infringes or duplicates the functionality of a previously patented 20th-century invention, six instances where it has done the same with respect to post-2000 patented inventions, two instances where GP has created a patentable new invention, and thirteen other human-competitive results. The book additionally establishes: GP now delivers routine human-competitive machine intelligence GP is an automated invention machine GP can create general solutions to problems in the form of parameterized topologies GP has delivered qualitatively more substantial results in synchrony with the relentless iteration of Moore's Law
Author | : Markus F. Brameier |
Publisher | : Springer Science & Business Media |
Total Pages | : 323 |
Release | : 2007-02-25 |
Genre | : Computers |
ISBN | : 0387310304 |
Download Linear Genetic Programming Book in PDF, ePub and Kindle
Linear Genetic Programming presents a variant of Genetic Programming that evolves imperative computer programs as linear sequences of instructions, in contrast to the more traditional functional expressions or syntax trees. Typical GP phenomena, such as non-effective code, neutral variations, and code growth are investigated from the perspective of linear GP. This book serves as a reference for researchers; it includes sufficient introductory material for students and newcomers to the field.
Author | : Kenneth E. Kinnear (Jr.) |
Publisher | : MIT Press |
Total Pages | : 544 |
Release | : 1994 |
Genre | : Computers |
ISBN | : 9780262111881 |
Download Advances in Genetic Programming Book in PDF, ePub and Kindle
Advances in Genetic Programming reports significant results in improving the power of genetic programming, presenting techniques that can be employed immediately in the solution of complex problems in many areas, including machine learning and the simulation of autonomous behavior. Popular languages such as C and C++ are used in manu of the applications and experiments, illustrating how genetic programming is not restricted to symbolic computing languages such as LISP. Researchers interested in getting started in genetic programming will find information on how to begin, on what public-domain code is available, and on how to become part of the active genetic programming community via electronic mail.