Foundations Of Genetic Programming

Author : William B. Langdon,Riccardo Poli
Publisher : Springer Science & Business Media
Page : 265 pages
File Size : 51,5 Mb
Release : 2013-03-09
Category : Computers
ISBN : 9783662047262

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Foundations of Genetic Programming by William B. Langdon,Riccardo Poli Pdf

This is one of the only books to provide a complete and coherent review of the theory of genetic programming (GP). In doing so, it provides a coherent consolidation of recent work on the theoretical foundations of GP. A concise introduction to GP and genetic algorithms (GA) is followed by a discussion of fitness landscapes and other theoretical approaches to natural and artificial evolution. Having surveyed early approaches to GP theory it presents new exact schema analysis, showing that it applies to GP as well as to the simpler GAs. New results on the potentially infinite number of possible programs are followed by two chapters applying these new techniques.

Author : Langdon
Publisher : Unknown
Page : 292 pages
File Size : 54,9 Mb
Release : 2007-09-01
Category : Electronic
ISBN : 8181287509

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Foundations Of Genetic Programming by Langdon Pdf

Author : Alden H. Wright
Publisher : Springer Science & Business Media
Page : 325 pages
File Size : 51,9 Mb
Release : 2005-07
Category : Computers
ISBN : 9783540272373

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Foundations of Genetic Algorithms by Alden H. Wright Pdf

This book constitutes the refereed proceedings of the 8th workshop on the foundations of genetic algorithms, FOGA 2005, held in Aizu-Wakamatsu City, Japan, in January 2005. The 16 revised full papers presented provide an outstanding source of reference for the field of theoretical evolutionary computation including evolution strategies, evolutionary programming, and genetic programming, as well as the continuing growth in interactions with other fields such as mathematics, physics, and biology.

Author : FOGA
Publisher : Elsevier
Page : 341 pages
File Size : 47,9 Mb
Release : 2014-06-28
Category : Mathematics
ISBN : 9780080506845

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Foundations of Genetic Algorithms 1991 (FOGA 1) by FOGA Pdf

Foundations of Genetic Algorithms 1991 (FOGA 1) discusses the theoretical foundations of genetic algorithms (GA) and classifier systems. This book compiles research papers on selection and convergence, coding and representation, problem hardness, deception, classifier system design, variation and recombination, parallelization, and population divergence. Other topics include the non-uniform Walsh-schema transform; spurious correlations and premature convergence in genetic algorithms; and variable default hierarchy separation in a classifier system. The grammar-based genetic algorithm; conditions for implicit parallelism; and analysis of multi-point crossover are also elaborated. This text likewise covers the genetic algorithms for real parameter optimization and isomorphisms of genetic algorithms. This publication is a good reference for students and researchers interested in genetic algorithms.

Author : Michael D. Vose
Publisher : MIT Press
Page : 650 pages
File Size : 44,8 Mb
Release : 1999
Category : Computers
ISBN : 026222058X

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The Simple Genetic Algorithm by Michael D. Vose Pdf

Content Description #"A Bradford book."#Includes bibliographical references (p.) and index.

Author : Rick Riolo,Bill Worzel
Publisher : Springer Science & Business Media
Page : 346 pages
File Size : 49,8 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.

Author : Christopher R. Stephens,Marc Toussaint,Peter F. Stadler,Darrell Whitley
Publisher : Springer Science & Business Media
Page : 220 pages
File Size : 50,6 Mb
Release : 2007-06-29
Category : Computers
ISBN : 9783540734796

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Foundations of Genetic Algorithms by Christopher R. Stephens,Marc Toussaint,Peter F. Stadler,Darrell Whitley Pdf

This book constitutes the thoroughly refereed post-proceedings of the 9th Workshop on the Foundations of Genetic Algorithms, FOGA 2007, held in Mexico City, Mexico in January 2007. The 11 revised full papers presented were carefully reviewed and selected during two rounds of reviewing and improvement from 22 submissions. The papers address all current topics in the field of theoretical evolutionary computation including evolution strategies, evolutionary programming, and genetic programming, and also depict the continuing growth in interactions with other fields such as mathematics, physics, and biology.

Author : Worth Martin
Publisher : Elsevier
Page : 351 pages
File Size : 41,7 Mb
Release : 2001-07-18
Category : Computers
ISBN : 9780080506876

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Foundations of Genetic Algorithms 2001 (FOGA 6) by Worth Martin Pdf

Foundations of Genetic Algorithms, Volume 6 is the latest in a series of books that records the prestigious Foundations of Genetic Algorithms Workshops, sponsored and organised by the International Society of Genetic Algorithms specifically to address theoretical publications on genetic algorithms and classifier systems. Genetic algorithms are one of the more successful machine learning methods. Based on the metaphor of natural evolution, a genetic algorithm searches the available information in any given task and seeks the optimum solution by replacing weaker populations with stronger ones. Includes research from academia, government laboratories, and industry Contains high calibre papers which have been extensively reviewed Continues the tradition of presenting not only current theoretical work but also issues that could shape future research in the field Ideal for researchers in machine learning, specifically those involved with evolutionary computation

Author : Rick Riolo,Ekaterina Vladislavleva,Marylyn D Ritchie,Jason H. Moore
Publisher : Springer Science & Business Media
Page : 260 pages
File Size : 42,7 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.

Author : Management Association, Information Resources
Publisher : IGI Global
Page : 1534 pages
File Size : 51,5 Mb
Release : 2020-12-05
Category : Computers
ISBN : 9781799880998

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Research Anthology on Multi-Industry Uses of Genetic Programming and Algorithms by Management Association, Information Resources Pdf

Genetic programming is a new and evolutionary method that has become a novel area of research within artificial intelligence known for automatically generating high-quality solutions to optimization and search problems. This automatic aspect of the algorithms and the mimicking of natural selection and genetics makes genetic programming an intelligent component of problem solving that is highly regarded for its efficiency and vast capabilities. With the ability to be modified and adapted, easily distributed, and effective in large-scale/wide variety of problems, genetic algorithms and programming can be utilized in many diverse industries. This multi-industry uses vary from finance and economics to business and management all the way to healthcare and the sciences. The use of genetic programming and algorithms goes beyond human capabilities, enhancing the business and processes of various essential industries and improving functionality along the way. The Research Anthology on Multi-Industry Uses of Genetic Programming and Algorithms covers the implementation, tools and technologies, and impact on society that genetic programming and algorithms have had throughout multiple industries. By taking a multi-industry approach, this book covers the fundamentals of genetic programming through its technological benefits and challenges along with the latest advancements and future outlooks for computer science. This book is ideal for academicians, biological engineers, computer programmers, scientists, researchers, and upper-level students seeking the latest research on genetic programming.

Author : Melanie Mitchell
Publisher : MIT Press
Page : 226 pages
File Size : 45,6 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.

Author : FOGA
Publisher : Morgan Kaufmann
Page : 300 pages
File Size : 54,6 Mb
Release : 2014-11-27
Category : Computers
ISBN : 9781483295022

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Foundations of Genetic Algorithms 1995 (FOGA 3) by FOGA Pdf

Foundations of Genetic Algorithms 1995 (FOGA 3)

Author : William B. Langdon,Riccardo Poli
Publisher : Springer Science & Business Media
Page : 68 pages
File Size : 46,6 Mb
Release : 2002-02-14
Category : Computers
ISBN : 3540424512

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Foundations of Genetic Programming by William B. Langdon,Riccardo Poli Pdf

Genetic programming (GP), one of the most advanced forms of evolutionary computation, has been highly successful as a technique for getting computers to automatically solve problems without having to tell them explicitly how. Since its inceptions more than ten years ago, GP has been used to solve practical problems in a variety of application fields. Along with this ad-hoc engineering approaches interest increased in how and why GP works. This book provides a coherent consolidation of recent work on the theoretical foundations of GP. A concise introduction to GP and genetic algorithms (GA) is followed by a discussion of fitness landscapes and other theoretical approaches to natural and artificial evolution. Having surveyed early approaches to GP theory it presents new exact schema analysis, showing that it applies to GP as well as to the simpler GAs. New results on the potentially infinite number of possible programs are followed by two chapters applying these new techniques.

Author : Hrnjica, Bahrudin,Danandeh Mehr, Ali
Publisher : IGI Global
Page : 310 pages
File Size : 48,8 Mb
Release : 2018-07-06
Category : Medical
ISBN : 9781522560067

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Optimized Genetic Programming Applications: Emerging Research and Opportunities by Hrnjica, Bahrudin,Danandeh Mehr, Ali Pdf

Data is more valuable than ever in the twenty-first century, and tremendous amounts of data are being generated every second. With a fast-growing information industry, engineers are required to develop new tools and techniques that increase human capabilities of mining useful knowledge from the vast amounts of data. Optimized Genetic Programming Applications: Emerging Research and Opportunities is an essential reference source that explores the concept of genetic programming and its role in managing engineering problems. It also examines genetic programming as a supervised machine learning technique, focusing on implementation and application. As a resource that details both the theoretical aspects and implementation of genetic programming, this book is a useful source for academicians, biological engineers, computer programmers, scientists, researchers, and upper-level students seeking the latest research on genetic programming.

Author : L. Darrell Whitley,Michael D. Vose
Publisher : Unknown
Page : 352 pages
File Size : 46,8 Mb
Release : 1995
Category : Combinatorial optimization
ISBN : UCSD:31822021343892

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Foundations of Genetic Algorithms 3 by L. Darrell Whitley,Michael D. Vose Pdf