Genetic Programming Theory and Practice II

Download Genetic Programming Theory and Practice II PDF Online Free

Author :
Publisher : Springer Science & Business Media
ISBN 13 : 0387232540
Total Pages : 330 pages
Book Rating : 4.3/5 (872 download)

DOWNLOAD NOW!


Book Synopsis Genetic Programming Theory and Practice II by : Una-May O'Reilly

Download or read book Genetic Programming Theory and Practice II written by Una-May O'Reilly and published by Springer Science & Business Media. This book was released on 2006-03-16 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: The work described in this book was first presented at the Second Workshop on Genetic Programming, Theory and Practice, organized by the Center for the Study of Complex Systems at the University of Michigan, Ann Arbor, 13-15 May 2004. The goal of this workshop series is to promote the exchange of research results and ideas between those who focus on Genetic Programming (GP) theory and those who focus on the application of GP to various re- world problems. In order to facilitate these interactions, the number of talks and participants was small and the time for discussion was large. Further, participants were asked to review each other's chapters before the workshop. Those reviewer comments, as well as discussion at the workshop, are reflected in the chapters presented in this book. Additional information about the workshop, addendums to chapters, and a site for continuing discussions by participants and by others can be found at http://cscs.umich.edu:8000/GPTP-20041. We thank all the workshop participants for making the workshop an exciting and productive three days. In particular we thank all the authors, without whose hard work and creative talents, neither the workshop nor the book would be possible. We also thank our keynote speakers Lawrence ("Dave") Davis of NuTech Solutions, Inc., Jordan Pollack of Brandeis University, and Richard Lenski of Michigan State University, who delivered three thought-provoking speeches that inspired a great deal of discussion among the participants.

Genetic Programming IV

Download Genetic Programming IV PDF Online Free

Author :
Publisher : Springer Science & Business Media
ISBN 13 : 9780387250670
Total Pages : 626 pages
Book Rating : 4.2/5 (56 download)

DOWNLOAD NOW!


Book Synopsis Genetic Programming IV by : John R. Koza

Download or read book Genetic Programming IV written by John R. Koza and published by Springer Science & Business Media. This book was released on 2005-03-21 with total page 626 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Genetic Programming II

Download Genetic Programming II PDF Online Free

Author :
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (92 download)

DOWNLOAD NOW!


Book Synopsis Genetic Programming II by : John R. Koza

Download or read book Genetic Programming II written by John R. Koza and published by . This book was released on 1994 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Advances in Genetic Programming

Download Advances in Genetic Programming PDF Online Free

Author :
Publisher : MIT Press
ISBN 13 : 9780262111881
Total Pages : 544 pages
Book Rating : 4.1/5 (118 download)

DOWNLOAD NOW!


Book Synopsis Advances in Genetic Programming by : Kenneth E. Kinnear (Jr.)

Download or read book Advances in Genetic Programming written by Kenneth E. Kinnear (Jr.) and published by MIT Press. This book was released on 1994 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Linear Genetic Programming

Download Linear Genetic Programming PDF Online Free

Author :
Publisher : Springer Science & Business Media
ISBN 13 : 0387310304
Total Pages : 323 pages
Book Rating : 4.3/5 (873 download)

DOWNLOAD NOW!


Book Synopsis Linear Genetic Programming by : Markus F. Brameier

Download or read book Linear Genetic Programming written by Markus F. Brameier and published by Springer Science & Business Media. This book was released on 2007-02-25 with total page 323 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

An Introduction to Genetic Algorithms

Download An Introduction to Genetic Algorithms PDF Online Free

Author :
Publisher : MIT Press
ISBN 13 : 9780262631853
Total Pages : 226 pages
Book Rating : 4.6/5 (318 download)

DOWNLOAD NOW!


Book Synopsis An Introduction to Genetic Algorithms by : Melanie Mitchell

Download or read book An Introduction to Genetic Algorithms written by Melanie Mitchell and published by MIT Press. This book was released on 1998-03-02 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: Genetic algorithms have been used in science and engineering as adaptive algorithms for solving practical problems and as computational models of natural evolutionary systems. This brief, accessible introduction describes some of the most interesting research in the field and also enables readers to implement and experiment with genetic algorithms on their own. It focuses in depth on a small set of important and interesting topics—particularly in machine learning, scientific modeling, and artificial life—and reviews a broad span of research, including the work of Mitchell and her colleagues. The descriptions of applications and modeling projects stretch beyond the strict boundaries of computer science to include dynamical systems theory, game theory, molecular biology, ecology, evolutionary biology, and population genetics, underscoring the exciting "general purpose" nature of genetic algorithms as search methods that can be employed across disciplines. An Introduction to Genetic Algorithms is accessible to students and researchers in any scientific discipline. It includes many thought and computer exercises that build on and reinforce the reader's understanding of the text. The first chapter introduces genetic algorithms and their terminology and describes two provocative applications in detail. The second and third chapters look at the use of genetic algorithms in machine learning (computer programs, data analysis and prediction, neural networks) and in scientific models (interactions among learning, evolution, and culture; sexual selection; ecosystems; evolutionary activity). Several approaches to the theory of genetic algorithms are discussed in depth in the fourth chapter. The fifth chapter takes up implementation, and the last chapter poses some currently unanswered questions and surveys prospects for the future of evolutionary computation.

Genetic Programming

Download Genetic Programming PDF Online Free

Author :
Publisher : Springer Science & Business
ISBN 13 : 9781558605107
Total Pages : 506 pages
Book Rating : 4.6/5 (51 download)

DOWNLOAD NOW!


Book Synopsis Genetic Programming by : Wolfgang Banzhaf

Download or read book Genetic Programming written by Wolfgang Banzhaf and published by Springer Science & Business. This book was released on 1998 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt: To order this title for shipment to Austria, Germany, or Switzerland, please contact dpunkt verlag directly. "[The authors] have performed a remarkable double service with this excellent book on genetic programming. First, they give an up-to-date view of the rapidly growing field of automatic creation of computer programs by means of evolution and, second, they bring together their own innovative and formidable work on evolution of assembly language machine code and linear genomes." --John R. Koza Since the early 1990s, genetic programming (GP)-a discipline whose goal is to enable the automatic generation of computer programs-has emerged as one of the most promising paradigms for fast, productive software development. GP combines biological metaphors gleaned from Darwin's theory of evolution with computer-science approaches drawn from the field of machine learning to create programs that are capable of adapting or recreating themselves for open-ended tasks. This unique introduction to GP provides a detailed overview of the subject and its antecedents, with extensive references to the published and online literature. In addition to explaining the fundamental theory and important algorithms, the text includes practical discussions covering a wealth of potential applications and real-world implementation techniques. Software professionals needing to understand and apply GP concepts will find this book an invaluable practical and theoretical guide.

Genetic Programming

Download Genetic Programming PDF Online Free

Author :
Publisher : MIT Press
ISBN 13 : 9780262111706
Total Pages : 856 pages
Book Rating : 4.1/5 (117 download)

DOWNLOAD NOW!


Book Synopsis Genetic Programming by : John R. Koza

Download or read book Genetic Programming written by John R. Koza and published by MIT Press. This book was released on 1992 with total page 856 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

A Field Guide to Genetic Programming

Download A Field Guide to Genetic Programming PDF Online Free

Author :
Publisher : Lulu.com
ISBN 13 : 1409200736
Total Pages : 252 pages
Book Rating : 4.4/5 (92 download)

DOWNLOAD NOW!


Book Synopsis A Field Guide to Genetic Programming by :

Download or read book A Field Guide to Genetic Programming written by and published by Lulu.com. This book was released on 2008 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Advances in Genetic Programming

Download Advances in Genetic Programming PDF Online Free

Author :
Publisher : Bradford Books
ISBN 13 : 9780262011587
Total Pages : 538 pages
Book Rating : 4.0/5 (115 download)

DOWNLOAD NOW!


Book Synopsis Advances in Genetic Programming by : Peter J. Angeline

Download or read book Advances in Genetic Programming written by Peter J. Angeline and published by Bradford Books. This book was released on 1996 with total page 538 pages. Available in PDF, EPUB and Kindle. Book excerpt: Genetic programming, a form of genetic algorithm that evolves programs and program-like executable structures, is a new paradigm for developing reliable, time- and cost-effective applications. The second volume of Advances in Genetic Programming highlights many of the most recent technical advances in this increasingly popular field. The twenty-three contributions are divided into four parts: Variations on the Genetic Programming Theme; Hierarchical, Recursive, and Pruning Genetic Programs; Analysis and Implementation Issues; and New Environments for Genetic Programming.The first part extends the core concepts of genetic programming through the addition of new evolutionary techniques -- adaptive and self-adaptive crossover methods, hill climbing operators, and the inclusion of introns into the representation.Creating more concise executable structures is a long-term research topic in genetic programming. The second part describes the field's most recent efforts, including the dynamic manipulation of automatically defined functions, evolving logic programs that generate recursive structures, and using minimum description length heuristics to determine when and how to prune evolving structures.The third part takes up the many implementation and analysis issues associated with evolving programs. Advanced applications of genetic programming to nontrivial real-world problems are described in the final part: remote sensing of pressure ridges in Arctic sea ice formations from satellite imagery, economic prediction through model evolution, the evolutionary development of stress and loading models for novel materials, and data mining of a large customer database to optimize responses to special offers.

Automatic Quantum Computer Programming

Download Automatic Quantum Computer Programming PDF Online Free

Author :
Publisher : Springer Science & Business Media
ISBN 13 : 1402078943
Total Pages : 158 pages
Book Rating : 4.4/5 (2 download)

DOWNLOAD NOW!


Book Synopsis Automatic Quantum Computer Programming by : Lee Spector

Download or read book Automatic Quantum Computer Programming written by Lee Spector and published by Springer Science & Business Media. This book was released on 2004-06-11 with total page 158 pages. Available in PDF, EPUB and Kindle. Book excerpt: Automatic Quantum Computer Programming provides an introduction to quantum computing for non-physicists, as well as an introduction to genetic programming for non-computer-scientists. The book explores several ways in which genetic programming can support automatic quantum computer programming and presents detailed descriptions of specific techniques, along with several examples of their human-competitive performance on specific problems. Source code for the author’s QGAME quantum computer simulator is included as an appendix, and pointers to additional online resources furnish the reader with an array of tools for automatic quantum computer programming.

Genetic Programming II

Download Genetic Programming II PDF Online Free

Author :
Publisher : Bradford Books
ISBN 13 : 9780262111898
Total Pages : 746 pages
Book Rating : 4.1/5 (118 download)

DOWNLOAD NOW!


Book Synopsis Genetic Programming II by : John R. Koza

Download or read book Genetic Programming II written by John R. Koza and published by Bradford Books. This book was released on 1994 with total page 746 pages. Available in PDF, EPUB and Kindle. Book excerpt: Background on genetic algorithms, LISP, and genetic programming. Hierarchical problem-solving. Introduction to automatically defined functions: the two-boxes problem. Problems that straddle the breakeven point for computational effort. Boolean parity functions. Determining the architecture of the program. The lawnmower problem. The bumblebee problem. The increasing benefits of ADFs as problems are scaled up. Finding an impulse response function. Artificial ant on the San Mateo trail. Obstacle-avoiding robot. The minesweeper problem. Automatic discovery of detectors for letter recognition. Flushes and four-of-a-kinds in a pinochle deck. Introduction to biochemistry and molecular biology. Prediction of transmembrane domains in proteins. Prediction of omega loops in proteins. Lookahead version of the transmembrane problem. Evolutionary selection of the architecture of the program. Evolution of primitives and sufficiency. Evolutionary selection of terminals. Evolution of closure. Simultaneous evolution of architecture, primitive functions, terminals, sufficiency, and closure. The role representation and the Lens effect. Default parameters. Computer implementation. Electronic mailing list and public repository.

Automatic Re-engineering of Software Using Genetic Programming

Download Automatic Re-engineering of Software Using Genetic Programming PDF Online Free

Author :
Publisher : Springer Science & Business Media
ISBN 13 : 1461546311
Total Pages : 150 pages
Book Rating : 4.4/5 (615 download)

DOWNLOAD NOW!


Book Synopsis Automatic Re-engineering of Software Using Genetic Programming by : Conor Ryan

Download or read book Automatic Re-engineering of Software Using Genetic Programming written by Conor Ryan and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt: Automatic Re-engineering of Software Using Genetic Programming describes the application of Genetic Programming to a real world application area - software re-engineering in general and automatic parallelization specifically. Unlike most uses of Genetic Programming, this book evolves sequences of provable transformations rather than actual programs. It demonstrates that the benefits of this approach are twofold: first, the time required for evaluating a population is drastically reduced, and second, the transformations can subsequently be used to prove that the new program is functionally equivalent to the original. Automatic Re-engineering of Software Using Genetic Programming shows that there are applications where it is more practical to use GP to assist with software engineering rather than to entirely replace it. It also demonstrates how the author isolated aspects of a problem that were particularly suited to GP, and used traditional software engineering techniques in those areas for which they were adequate. Automatic Re-engineering of Software Using Genetic Programming is an excellent resource for researchers in this exciting new field.

Genetic Algorithms and Genetic Programming

Download Genetic Algorithms and Genetic Programming PDF Online Free

Author :
Publisher : CRC Press
ISBN 13 : 1420011324
Total Pages : 395 pages
Book Rating : 4.4/5 (2 download)

DOWNLOAD NOW!


Book Synopsis Genetic Algorithms and Genetic Programming by : Michael Affenzeller

Download or read book Genetic Algorithms and Genetic Programming written by Michael Affenzeller and published by CRC Press. This book was released on 2009-04-09 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: Genetic Algorithms and Genetic Programming: Modern Concepts and Practical Applications discusses algorithmic developments in the context of genetic algorithms (GAs) and genetic programming (GP). It applies the algorithms to significant combinatorial optimization problems and describes structure identification using HeuristicLab as a platform for al

Genetic Programming III

Download Genetic Programming III PDF Online Free

Author :
Publisher : Morgan Kaufmann
ISBN 13 : 9781558605435
Total Pages : 1516 pages
Book Rating : 4.6/5 (54 download)

DOWNLOAD NOW!


Book Synopsis Genetic Programming III by : John R. Koza

Download or read book Genetic Programming III written by John R. Koza and published by Morgan Kaufmann. This book was released on 1999 with total page 1516 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Cartesian Genetic Programming

Download Cartesian Genetic Programming PDF Online Free

Author :
Publisher : Springer Science & Business Media
ISBN 13 : 3642173101
Total Pages : 358 pages
Book Rating : 4.6/5 (421 download)

DOWNLOAD NOW!


Book Synopsis Cartesian Genetic Programming by : Julian F. Miller

Download or read book Cartesian Genetic Programming written by Julian F. Miller and published by Springer Science & Business Media. This book was released on 2011-09-18 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cartesian Genetic Programming (CGP) is a highly effective and increasingly popular form of genetic programming. It represents programs in the form of directed graphs, and a particular characteristic is that it has a highly redundant genotype–phenotype mapping, in that genes can be noncoding. It has spawned a number of new forms, each improving on the efficiency, among them modular, or embedded, CGP, and self-modifying CGP. It has been applied to many problems in both computer science and applied sciences. This book contains chapters written by the leading figures in the development and application of CGP, and it will be essential reading for researchers in genetic programming and for engineers and scientists solving applications using these techniques. It will also be useful for advanced undergraduates and postgraduates seeking to understand and utilize a highly efficient form of genetic programming.

Genetic Algorithms and Genetic Programming in Computational Finance

Download Genetic Algorithms and Genetic Programming in Computational Finance PDF Online Free

Author :
Publisher : Springer Science & Business Media
ISBN 13 : 1461508355
Total Pages : 491 pages
Book Rating : 4.4/5 (615 download)

DOWNLOAD NOW!


Book Synopsis Genetic Algorithms and Genetic Programming in Computational Finance by : Shu-Heng Chen

Download or read book Genetic Algorithms and Genetic Programming in Computational Finance written by Shu-Heng Chen and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 491 pages. Available in PDF, EPUB and Kindle. Book excerpt: After a decade of development, genetic algorithms and genetic programming have become a widely accepted toolkit for computational finance. Genetic Algorithms and Genetic Programming in Computational Finance is a pioneering volume devoted entirely to a systematic and comprehensive review of this subject. Chapters cover various areas of computational finance, including financial forecasting, trading strategies development, cash flow management, option pricing, portfolio management, volatility modeling, arbitraging, and agent-based simulations of artificial stock markets. Two tutorial chapters are also included to help readers quickly grasp the essence of these tools. Finally, a menu-driven software program, Simple GP, accompanies the volume, which will enable readers without a strong programming background to gain hands-on experience in dealing with much of the technical material introduced in this work.