Genetic Programming Theory And Practice

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Genetic Programming Theory and Practice

Rick Riolo,Bill Worzel
Genetic Programming Theory and Practice Book PDF

Author : Rick Riolo,Bill Worzel
Publisher : Springer Science & Business Media
Page : 346 pages
File Size : 52,6 Mb
Release : 2003-11-30
Category : Computers
ISBN : 1402075812

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Genetic Programming Theory and Practice by Rick Riolo,Bill Worzel Pdf

Genetic Programming Theory and Practice explores the emerging interaction between theory and practice in the cutting-edge, machine learning method of Genetic Programming (GP). The material contained in this contributed volume was developed from a workshop at the University of Michigan's Center for the Study of Complex Systems where an international group of genetic programming theorists and practitioners met to examine how GP theory informs practice and how GP practice impacts GP theory. The contributions cover the full spectrum of this relationship and are written by leading GP theorists from major universities, as well as active practitioners from leading industries and businesses. Chapters include such topics as John Koza's development of human-competitive electronic circuit designs; David Goldberg's application of "competent GA" methodology to GP; Jason Daida's discovery of a new set of factors underlying the dynamics of GP starting from applied research; and Stephen Freeland's essay on the lessons of biology for GP and the potential impact of GP on evolutionary theory. The book also includes chapters on the dynamics of GP, the selection of operators and population sizing, specific applications such as stock selection in emerging markets, predicting oil field production, modeling chemical production processes, and developing new diagnostics from genomic data. Genetic Programming Theory and Practice is an excellent reference for researchers working in evolutionary algorithms and for practitioners seeking innovative methods to solve difficult computing problems.

Genetic Programming Theory and Practice XVII

Wolfgang Banzhaf,Erik Goodman,Leigh Sheneman,Leonardo Trujillo,Bill Worzel
Genetic Programming Theory and Practice XVII Book PDF

Author : Wolfgang Banzhaf,Erik Goodman,Leigh Sheneman,Leonardo Trujillo,Bill Worzel
Publisher : Springer Nature
Page : 409 pages
File Size : 51,6 Mb
Release : 2020-05-07
Category : Computers
ISBN : 9783030399580

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Genetic Programming Theory and Practice XVII by Wolfgang Banzhaf,Erik Goodman,Leigh Sheneman,Leonardo Trujillo,Bill Worzel Pdf

These contributions, written by the foremost international researchers and practitioners of Genetic Programming (GP), explore the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP. In this year’s edition, the topics covered include many of the most important issues and research questions in the field, such as: opportune application domains for GP-based methods, game playing and co-evolutionary search, symbolic regression and efficient learning strategies, encodings and representations for GP, schema theorems, and new selection mechanisms.The volume includes several chapters on best practices and lessons learned from hands-on experience. Readers will discover large-scale, real-world applications of GP to a variety of problem domains via in-depth presentations of the latest and most significant results.

Genetic Programming Theory and Practice II

Una-May O'Reilly,Tina Yu,Rick Riolo,Bill Worzel
Genetic Programming Theory and Practice II Book PDF

Author : Una-May O'Reilly,Tina Yu,Rick Riolo,Bill Worzel
Publisher : Springer Science & Business Media
Page : 330 pages
File Size : 46,8 Mb
Release : 2006-03-16
Category : Computers
ISBN : 9780387232546

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Genetic Programming Theory and Practice II by Una-May O'Reilly,Tina Yu,Rick Riolo,Bill Worzel Pdf

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 Theory and Practice IX

Rick Riolo,Ekaterina Vladislavleva,Jason H. Moore
Genetic Programming Theory and Practice IX Book PDF

Author : Rick Riolo,Ekaterina Vladislavleva,Jason H. Moore
Publisher : Springer Science & Business Media
Page : 264 pages
File Size : 50,8 Mb
Release : 2011-11-02
Category : Computers
ISBN : 9781461417705

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Genetic Programming Theory and Practice IX by Rick Riolo,Ekaterina Vladislavleva,Jason H. Moore Pdf

These contributions, written by the foremost international researchers and practitioners of Genetic Programming (GP), explore the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP. Topics include: modularity and scalability; evolvability; human-competitive results; the need for important high-impact GP-solvable problems;; the risks of search stagnation and of cutting off paths to solutions; the need for novelty; empowering GP search with expert knowledge; In addition, GP symbolic regression is thoroughly discussed, addressing such topics as guaranteed reproducibility of SR; validating SR results, measuring and controlling genotypic complexity; controlling phenotypic complexity; identifying, monitoring, and avoiding over-fitting; finding a comprehensive collection of SR benchmarks, comparing SR to machine learning. This text is for all GP explorers. Readers will discover large-scale, real-world applications of GP to a variety of problem domains via in-depth presentations of the latest and most significant results.

Genetic Programming Theory and Practice X

Rick Riolo,Ekaterina Vladislavleva,Marylyn D Ritchie,Jason H. Moore
Genetic Programming Theory and Practice X Book PDF

Author : Rick Riolo,Ekaterina Vladislavleva,Marylyn D Ritchie,Jason H. Moore
Publisher : Springer Science & Business Media
Page : 260 pages
File Size : 42,8 Mb
Release : 2013-05-24
Category : Computers
ISBN : 9781461468462

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Genetic Programming Theory and Practice X by Rick Riolo,Ekaterina Vladislavleva,Marylyn D Ritchie,Jason H. Moore Pdf

These contributions, written by the foremost international researchers and practitioners of Genetic Programming (GP), explore the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP. Topics in this volume include: evolutionary constraints, relaxation of selection mechanisms, diversity preservation strategies, flexing fitness evaluation, evolution in dynamic environments, multi-objective and multi-modal selection, foundations of evolvability, evolvable and adaptive evolutionary operators, foundation of injecting expert knowledge in evolutionary search, analysis of problem difficulty and required GP algorithm complexity, foundations in running GP on the cloud – communication, cooperation, flexible implementation, and ensemble methods. Additional focal points for GP symbolic regression are: (1) The need to guarantee convergence to solutions in the function discovery mode; (2) Issues on model validation; (3) The need for model analysis workflows for insight generation based on generated GP solutions – model exploration, visualization, variable selection, dimensionality analysis; (4) Issues in combining different types of data. Readers will discover large-scale, real-world applications of GP to a variety of problem domains via in-depth presentations of the latest and most significant results.

Theory and Practice of Uncertain Programming

Baoding Liu
Theory and Practice of Uncertain Programming Book PDF

Author : Baoding Liu
Publisher : Springer
Page : 202 pages
File Size : 50,7 Mb
Release : 2008-12-28
Category : Technology & Engineering
ISBN : 9783540894841

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Theory and Practice of Uncertain Programming by Baoding Liu Pdf

Real-life decisions are usually made in the state of uncertainty such as randomness and fuzziness. How do we model optimization problems in uncertain environments? How do we solve these models? In order to answer these questions, this book provides a self-contained, comprehensive and up-to-date presentation of uncertain programming theory, including numerous modeling ideas, hybrid intelligent algorithms, and applications in system reliability design, project scheduling problem, vehicle routing problem, facility location problem, and machine scheduling problem. Researchers, practitioners and students in operations research, management science, information science, system science, and engineering will find this work a stimulating and useful reference.

Genetic Programming Theory and Practice

Rick Riolo,Bill Worzel
Genetic Programming Theory and Practice Book PDF

Author : Rick Riolo,Bill Worzel
Publisher : Springer Science & Business Media
Page : 317 pages
File Size : 46,6 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781441989833

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Genetic Programming Theory and Practice by Rick Riolo,Bill Worzel Pdf

Genetic Programming Theory and Practice explores the emerging interaction between theory and practice in the cutting-edge, machine learning method of Genetic Programming (GP). The material contained in this contributed volume was developed from a workshop at the University of Michigan's Center for the Study of Complex Systems where an international group of genetic programming theorists and practitioners met to examine how GP theory informs practice and how GP practice impacts GP theory. The contributions cover the full spectrum of this relationship and are written by leading GP theorists from major universities, as well as active practitioners from leading industries and businesses. Chapters include such topics as John Koza's development of human-competitive electronic circuit designs; David Goldberg's application of "competent GA" methodology to GP; Jason Daida's discovery of a new set of factors underlying the dynamics of GP starting from applied research; and Stephen Freeland's essay on the lessons of biology for GP and the potential impact of GP on evolutionary theory.

Genetic Programming Theory and Practice VII

Rick Riolo,Una-May O'Reilly,Trent McConaghy
Genetic Programming Theory and Practice VII Book PDF

Author : Rick Riolo,Una-May O'Reilly,Trent McConaghy
Publisher : Springer Science & Business Media
Page : 242 pages
File Size : 49,9 Mb
Release : 2009-11-07
Category : Computers
ISBN : 9781441916266

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Genetic Programming Theory and Practice VII by Rick Riolo,Una-May O'Reilly,Trent McConaghy Pdf

Genetic Programming Theory and Practice VII presents the results of the annual Genetic Programming Theory and Practice Workshop, contributed by the foremost international researchers and practitioners in the GP arena. Contributions examine the similarities and differences between theoretical and empirical results on real-world problems, and explore the synergy between theory and practice, producing a comprehensive view of the state of the art in GP application. Application areas include chemical process control, circuit design, financial data mining and bio-informatics, to name a few. About this book: Discusses the hurdles encountered when solving large-scale, cutting-edge applications, provides in-depth presentations of the latest and most significant applications of GP and the most recent theoretical results with direct applicability to state-of-the-art problems. Genetic Programming Theory and Practice VII is suitable for researchers, practitioners and students of Genetic Programming, including industry technical staffs, technical consultants and business entrepreneurs.

Genetic Programming Theory and Practice III

Tina Yu,Rick Riolo,Bill Worzel
Genetic Programming Theory and Practice III Book PDF

Author : Tina Yu,Rick Riolo,Bill Worzel
Publisher : Springer Science & Business Media
Page : 321 pages
File Size : 43,5 Mb
Release : 2006-06-18
Category : Computers
ISBN : 9780387281117

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Genetic Programming Theory and Practice III by Tina Yu,Rick Riolo,Bill Worzel Pdf

Genetic Programming Theory and Practice III provides both researchers and industry professionals with the most recent developments in GP theory and practice by exploring the emerging interaction between theory and practice in the cutting-edge, machine learning method of Genetic Programming (GP). The contributions developed from a third workshop at the University of Michigan's Center for the Study of Complex Systems, where leading international genetic programming theorists from major universities and active practitioners from leading industries and businesses meet to examine and challenge how GP theory informs practice and how GP practice impacts GP theory. Applications are from a wide range of domains, including chemical process control, informatics, and circuit design, to name a few.

A Field Guide to Genetic Programming

Anonim
A Field Guide to Genetic Programming Book PDF

Author : Anonim
Publisher : Lulu.com
Page : 252 pages
File Size : 44,7 Mb
Release : 2008
Category : Computers
ISBN : 9781409200734

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A Field Guide to Genetic Programming by Anonim Pdf

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.

Genetic Programming Theory and Practice V

Rick Riolo,Terence Soule,Bill Worzel
Genetic Programming Theory and Practice V Book PDF

Author : Rick Riolo,Terence Soule,Bill Worzel
Publisher : Springer Science & Business Media
Page : 279 pages
File Size : 45,5 Mb
Release : 2007-12-20
Category : Computers
ISBN : 9780387763088

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Genetic Programming Theory and Practice V by Rick Riolo,Terence Soule,Bill Worzel Pdf

Genetic Programming Theory and Practice V was developed from the fifth workshop at the University of Michigan’s Center for the Study of Complex Systems. It aims to facilitate the exchange of ideas and information related to the rapidly advancing field of Genetic Programming (GP). This volume is a unique and indispensable tool for academics, researchers and industry professionals involved in GP, evolutionary computation, machine learning and artificial intelligence.

Applied Genetic Programming and Machine Learning

Hitoshi Iba,Yoshihiko Hasegawa,Topon Kumar Paul
Applied Genetic Programming and Machine Learning Book PDF

Author : Hitoshi Iba,Yoshihiko Hasegawa,Topon Kumar Paul
Publisher : CRC Press
Page : 349 pages
File Size : 50,7 Mb
Release : 2009-08-26
Category : Computers
ISBN : 1439803706

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Applied Genetic Programming and Machine Learning by Hitoshi Iba,Yoshihiko Hasegawa,Topon Kumar Paul Pdf

What do financial data prediction, day-trading rule development, and bio-marker selection have in common? They are just a few of the tasks that could potentially be resolved with genetic programming and machine learning techniques. Written by leaders in this field, Applied Genetic Programming and Machine Learning delineates the extension of Genetic Programming (GP) for practical applications. Reflecting rapidly developing concepts and emerging paradigms, this book outlines how to use machine learning techniques, make learning operators that efficiently sample a search space, navigate the search process through the design of objective fitness functions, and examine the search performance of the evolutionary system. It provides a methodology for integrating GP and machine learning techniques, establishing a robust evolutionary framework for addressing tasks from areas such as chaotic time-series prediction, system identification, financial forecasting, classification, and data mining. The book provides a starting point for the research of extended GP frameworks with the integration of several machine learning schemes. Drawing on empirical studies taken from fields such as system identification, finanical engineering, and bio-informatics, it demonstrates how the proposed methodology can be useful in practical inductive problem solving.

Genetic Programming Theory and Practice XIII

Rick Riolo,W.P. Worzel,Mark Kotanchek,Arthur Kordon
Genetic Programming Theory and Practice XIII Book PDF

Author : Rick Riolo,W.P. Worzel,Mark Kotanchek,Arthur Kordon
Publisher : Springer
Page : 262 pages
File Size : 53,9 Mb
Release : 2016-12-20
Category : Computers
ISBN : 9783319342238

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Genetic Programming Theory and Practice XIII by Rick Riolo,W.P. Worzel,Mark Kotanchek,Arthur Kordon Pdf

These contributions, written by the foremost international researchers and practitioners of Genetic Programming (GP), explore the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP. Topics in this volume include: multi-objective genetic programming, learning heuristics, Kaizen programming, Evolution of Everything (EvE), lexicase selection, behavioral program synthesis, symbolic regression with noisy training data, graph databases, and multidimensional clustering. It also covers several chapters on best practices and lesson learned from hands-on experience. Additional application areas include financial operations, genetic analysis, and predicting product choice. Readers will discover large-scale, real-world applications of GP to a variety of problem domains via in-depth presentations of the latest and most significant results.

An Introduction to Genetic Algorithms

Melanie Mitchell
An Introduction to Genetic Algorithms Book PDF

Author : Melanie Mitchell
Publisher : MIT Press
Page : 226 pages
File Size : 53,6 Mb
Release : 1998-03-02
Category : Computers
ISBN : 0262631857

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An Introduction to Genetic Algorithms by Melanie Mitchell Pdf

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 Theory and Practice VI

Rick Riolo,Terence Soule,Bill Worzel
Genetic Programming Theory and Practice VI Book PDF

Author : Rick Riolo,Terence Soule,Bill Worzel
Publisher : Springer Science & Business Media
Page : 281 pages
File Size : 54,7 Mb
Release : 2008-11-01
Category : Computers
ISBN : 9780387876238

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Genetic Programming Theory and Practice VI by Rick Riolo,Terence Soule,Bill Worzel Pdf

Genetic Programming Theory and Practice VI was developed from the sixth workshop at the University of Michigan’s Center for the Study of Complex Systems to facilitate the exchange of ideas and information related to the rapidly advancing field of Genetic Programming (GP). Contributions from the foremost international researchers and practitioners in the GP arena examine the similarities and differences between theoretical and empirical results on real-world problems. The text explores the synergy between theory and practice, producing a comprehensive view of the state of the art in GP application. These contributions address several significant interdependent themes which emerged from this year’s workshop, including: (1) Making efficient and effective use of test data. (2) Sustaining the long-term evolvability of our GP systems. (3) Exploiting discovered subsolutions for reuse. (4) Increasing the role of a Domain Expert.