Artificial Intelligence Through Simulated Evolution By Lawrence J Fogel Alvin J Owens Michael J Walsh
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Artificial Intelligence Through Simulated Evolution
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Author : Lawrence J. Fogel
language : en
Publisher:
Release Date : 1966
Artificial Intelligence Through Simulated Evolution written by Lawrence J. Fogel and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1966 with Computers categories.
Artificial Intelligence Through Simulated Evolution By Lawrence J Fogel Alvin J Owens Michael J Walsh
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Author : Lawrence Jerome FOGEL
language : en
Publisher:
Release Date : 1966
Artificial Intelligence Through Simulated Evolution By Lawrence J Fogel Alvin J Owens Michael J Walsh written by Lawrence Jerome FOGEL and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1966 with Information theory categories.
Artificial Intelligence Through Simulated Evolution By L J Fogel A J Owens And M J Walsh
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Author : Lawrence J. Fogel
language : en
Publisher:
Release Date :
Artificial Intelligence Through Simulated Evolution By L J Fogel A J Owens And M J Walsh written by Lawrence J. Fogel and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with Artificial intelligence categories.
Intelligence Through Simulated Evolution
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Author : Lawrence J. Fogel
language : en
Publisher: Wiley-Interscience
Release Date : 1999
Intelligence Through Simulated Evolution written by Lawrence J. Fogel and has been published by Wiley-Interscience this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Computers categories.
A unique, one-stop reference to the history, technology, and application of evolutionary programming Evolutionary programming has come a long way since Lawrence Fogel first proposed in 1961 that intelligence could be modeled on the natural process of evolution. Efforts to apply this innovative approach to artificial intelligence have also evolved over the years, and the advent of fast desktop computers capable of solving complex computational problems has spawned an explosion of interest in the field. Offering the unique perspective of one of the inventors of evolutionary programming, this remarkable work traces forty years of developments in the field. Dr. Fogel consolidates a wealth of information and hard-to-find figures from across the literature, providing comprehensive coverage of the evolutionary programming approach to simulated evolution. This includes both an updated, condensed version of his bestselling 1966 work, Artificial Intelligence Through Simulated Evolution (with Owens and Walsh), and a thorough discussion of the history, technology, and methods of machine learning from 1970 to the present. This important resource features clear, up-to-date explanations of how the simulation of evolutionary processes allows machines to learn to solve new problems in new ways. And it helps readers make the leap to generating intelligent systems-extending the discussion to neural networks, fuzzy logic, and genetic algorithms development. Engineers and computer scientists in all areas of machine learning will gain invaluable insight into existing and emerging applications and obtain ample ideas to draw upon in future research.
Intelligence Through Simulated Evolution
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Author : Lawrence J. Fogel
language : en
Publisher: Wiley-Interscience
Release Date : 1999-08-02
Intelligence Through Simulated Evolution written by Lawrence J. Fogel and has been published by Wiley-Interscience this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999-08-02 with Science categories.
A unique, one-stop reference to the history, technology, and application of evolutionary programming Evolutionary programming has come a long way since Lawrence Fogel first proposed in 1961 that intelligence could be modeled on the natural process of evolution. Efforts to apply this innovative approach to artificial intelligence have also evolved over the years, and the advent of fast desktop computers capable of solving complex computational problems has spawned an explosion of interest in the field. Offering the unique perspective of one of the inventors of evolutionary programming, this remarkable work traces forty years of developments in the field. Dr. Fogel consolidates a wealth of information and hard-to-find figures from across the literature, providing comprehensive coverage of the evolutionary programming approach to simulated evolution. This includes both an updated, condensed version of his bestselling 1966 work, Artificial Intelligence Through Simulated Evolution (with Owens and Walsh), and a thorough discussion of the history, technology, and methods of machine learning from 1970 to the present. This important resource features clear, up-to-date explanations of how the simulation of evolutionary processes allows machines to learn to solve new problems in new ways. And it helps readers make the leap to generating intelligent systems-extending the discussion to neural networks, fuzzy logic, and genetic algorithms development. Engineers and computer scientists in all areas of machine learning will gain invaluable insight into existing and emerging applications and obtain ample ideas to draw upon in future research.
Pattern Classification
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Author : Richard O. Duda
language : en
Publisher: John Wiley & Sons
Release Date : 2012-11-09
Pattern Classification written by Richard O. Duda and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-11-09 with Technology & Engineering categories.
The first edition, published in 1973, has become a classicreference in the field. Now with the second edition, readers willfind information on key new topics such as neural networks andstatistical pattern recognition, the theory of machine learning,and the theory of invariances. Also included are worked examples,comparisons between different methods, extensive graphics, expandedexercises and computer project topics. An Instructor's Manual presenting detailed solutions to all theproblems in the book is available from the Wiley editorialdepartment.
Genetic Programming
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Author : Wolfgang Banzhaf
language : en
Publisher: Springer Science & Business Media
Release Date : 1998-03-25
Genetic Programming written by Wolfgang Banzhaf and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-03-25 with Computers categories.
This book presents the latest in mammary gland transgenesis, the exploitation of transgenic technology for the production of therapeutic proteins by routine or conventional methods. Following a section with an overview of all relevant methodologies, readers will find relevant information on the regulation of milk gene expression and bioreactor species such as cattle, rabbits and pigs.
Genetic Programming
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Author : Marc Ebner
language : en
Publisher: Springer
Release Date : 2007-06-20
Genetic Programming written by Marc Ebner and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-06-20 with Computers categories.
This book constitutes the refereed proceedings of the 10th European Conference on Genetic Programming, EuroGP 2007, held in Valencia, Spain in April 2007 colocated with EvoCOP 2007. The 21 revised plenary papers and 14 revised poster papers were carefully reviewed and selected from 71 submissions. The papers address fundamental and theoretical issues, along with a wide variety of papers dealing with different application areas.
A Practical Approach To Metaheuristics Using Labview And Matlab
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Author : Pedro Ponce-Cruz
language : en
Publisher: CRC Press
Release Date : 2020-06-08
A Practical Approach To Metaheuristics Using Labview And Matlab written by Pedro Ponce-Cruz and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-08 with Computers categories.
Metaheuristic optimization has become a prime alternative for solving complex optimization problems in several areas. Hence, practitioners and researchers have been paying extensive attention to those metaheuristic algorithms that are mainly based on natural phenomena. However, when those algorithms are implemented, there are not enough books that deal with theoretical and experimental problems in a friendly manner so this book presents a novel structure that includes a complete description of the most important metaheuristic optimization algorithms as well as a new proposal of a new metaheuristic optimization named earthquake optimization. This book also has several practical exercises and a toolbox for MATLAB® and a toolkit for LabVIEW are integrated as complementary material for this book. These toolkits allow readers to move from a simulation environment to an experimentation one very fast. This book is suitable for researchers, students, and professionals in several areas, such as economics, architecture, computer science, electrical engineering, and control systems. The unique features of this book are as follows: Developed for researchers, undergraduate and graduate students, and practitioners A friendly description of the main metaheuristic optimization algorithms Theoretical and practical optimization examples A new earthquake optimization algorithm Updated state-of-the-art and research optimization projects The authors are multidisciplinary/interdisciplinary lecturers and researchers who have written a structure-friendly learning methodology to understand each metaheuristic optimization algorithm presented in this book.
Blondie24
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Author : David B. Fogel
language : en
Publisher: Morgan Kaufmann
Release Date : 2002
Blondie24 written by David B. Fogel and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Computers categories.
This book explains how a computer, by replicating the processes of Darwinian evolution, taught itself to play checkers far better than its creators could have programmed it to play. Fogel (editor, IEEE Transactions on Evolutionary Computation) considers the implications for evolutionary computations and artificial intelligence. Diagrams illustrate the evolutionary and computational processes at work, and the course of various games of checkers. Annotation copyrighted by Book News, Inc., Portland, OR.