Genetic Programming Iv

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Genetic Programming IV

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

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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 IV

Author : John R. Koza
Publisher : Springer Science & Business Media
ISBN 13 : 0387264175
Total Pages : 607 pages
Book Rating : 4.3/5 (872 download)

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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 2005-09-14 with total page 607 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 IV

Author : John R. Koza
Publisher : Springer Science & Business Media
ISBN 13 : 9781402074462
Total Pages : 632 pages
Book Rating : 4.0/5 (744 download)

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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 2003-07-31 with total page 632 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

Grammatical Evolution

Author : Michael O'Neill
Publisher : Springer Science & Business Media
ISBN 13 : 1461504473
Total Pages : 157 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Grammatical Evolution by : Michael O'Neill

Download or read book Grammatical Evolution written by Michael O'Neill and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 157 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Evolutionary Programming IV

Author : John R. McDonnell
Publisher : MIT Press
ISBN 13 : 9780262133173
Total Pages : 840 pages
Book Rating : 4.1/5 (331 download)

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Book Synopsis Evolutionary Programming IV by : John R. McDonnell

Download or read book Evolutionary Programming IV written by John R. McDonnell and published by MIT Press. This book was released on 1995 with total page 840 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Genetic Programming

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

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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.

Genetic Programming III

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

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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.

A Field Guide to Genetic Programming

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

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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

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

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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.

Genetic Programming for Production Scheduling

Author : Fangfang Zhang
Publisher : Springer Nature
ISBN 13 : 981164859X
Total Pages : 357 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Genetic Programming for Production Scheduling by : Fangfang Zhang

Download or read book Genetic Programming for Production Scheduling written by Fangfang Zhang and published by Springer Nature. This book was released on 2021-11-12 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces readers to an evolutionary learning approach, specifically genetic programming (GP), for production scheduling. The book is divided into six parts. In Part I, it provides an introduction to production scheduling, existing solution methods, and the GP approach to production scheduling. Characteristics of production environments, problem formulations, an abstract GP framework for production scheduling, and evaluation criteria are also presented. Part II shows various ways that GP can be employed to solve static production scheduling problems and their connections with conventional operation research methods. In turn, Part III shows how to design GP algorithms for dynamic production scheduling problems and describes advanced techniques for enhancing GP’s performance, including feature selection, surrogate modeling, and specialized genetic operators. In Part IV, the book addresses how to use heuristics to deal with multiple, potentially conflicting objectives in production scheduling problems, and presents an advanced multi-objective approach with cooperative coevolution techniques or multi-tree representations. Part V demonstrates how to use multitask learning techniques in the hyper-heuristics space for production scheduling. It also shows how surrogate techniques and assisted task selection strategies can benefit multitask learning with GP for learning heuristics in the context of production scheduling. Part VI rounds out the text with an outlook on the future. Given its scope, the book benefits scientists, engineers, researchers, practitioners, postgraduates, and undergraduates in the areas of machine learning, artificial intelligence, evolutionary computation, operations research, and industrial engineering.

Genetic Programming II

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

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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.

Clever Algorithms

Author : Jason Brownlee
Publisher : Jason Brownlee
ISBN 13 : 1446785068
Total Pages : 437 pages
Book Rating : 4.4/5 (467 download)

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Book Synopsis Clever Algorithms by : Jason Brownlee

Download or read book Clever Algorithms written by Jason Brownlee and published by Jason Brownlee. This book was released on 2011 with total page 437 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a handbook of algorithmic recipes from the fields of Metaheuristics, Biologically Inspired Computation and Computational Intelligence that have been described in a complete, consistent, and centralized manner. These standardized descriptions were carefully designed to be accessible, usable, and understandable. Most of the algorithms described in this book were originally inspired by biological and natural systems, such as the adaptive capabilities of genetic evolution and the acquired immune system, and the foraging behaviors of birds, bees, ants and bacteria. An encyclopedic algorithm reference, this book is intended for research scientists, engineers, students, and interested amateurs. Each algorithm description provides a working code example in the Ruby Programming Language.

Genetic and Evolutionary Computation for Image Processing and Analysis

Author : Stefano Cagnoni
Publisher : Hindawi Publishing Corporation
ISBN 13 : 9774540018
Total Pages : 473 pages
Book Rating : 4.7/5 (745 download)

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Book Synopsis Genetic and Evolutionary Computation for Image Processing and Analysis by : Stefano Cagnoni

Download or read book Genetic and Evolutionary Computation for Image Processing and Analysis written by Stefano Cagnoni and published by Hindawi Publishing Corporation. This book was released on 2008 with total page 473 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Genetic Programming Theory and Practice IV

Author : Rick Riolo
Publisher : Springer Science & Business Media
ISBN 13 : 0387496505
Total Pages : 349 pages
Book Rating : 4.3/5 (874 download)

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Book Synopsis Genetic Programming Theory and Practice IV by : Rick Riolo

Download or read book Genetic Programming Theory and Practice IV written by Rick Riolo and published by Springer Science & Business Media. This book was released on 2007-07-03 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: Genetic Programming Theory and Practice IV was developed from the fourth workshop at the University of Michigan’s Center for the Study of Complex Systems. The workshop was convened in May 2006 to facilitate the exchange of ideas and information related to the rapidly advancing field of Genetic Programming (GP). The text explores the synergy between theory and practice, producing a comprehensive view of the state of the art in GP application.

Genetic Algorithms and Genetic Programming in Computational Finance

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

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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.

Genetic Algorithms in Search, Optimization, and Machine Learning

Author : David Edward Goldberg
Publisher : Addison-Wesley Professional
ISBN 13 :
Total Pages : 436 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Genetic Algorithms in Search, Optimization, and Machine Learning by : David Edward Goldberg

Download or read book Genetic Algorithms in Search, Optimization, and Machine Learning written by David Edward Goldberg and published by Addison-Wesley Professional. This book was released on 1989 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: A gentle introduction to genetic algorithms. Genetic algorithms revisited: mathematical foundations. Computer implementation of a genetic algorithm. Some applications of genetic algorithms. Advanced operators and techniques in genetic search. Introduction to genetics-based machine learning. Applications of genetics-based machine learning. A look back, a glance ahead. A review of combinatorics and elementary probability. Pascal with random number generation for fortran, basic, and cobol programmers. A simple genetic algorithm (SGA) in pascal. A simple classifier system(SCS) in pascal. Partition coefficient transforms for problem-coding analysis.

Genetic Programming Theory and Practice

Author : Rick Riolo
Publisher : Springer Science & Business Media
ISBN 13 : 9781402075810
Total Pages : 346 pages
Book Rating : 4.0/5 (758 download)

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Book Synopsis Genetic Programming Theory and Practice by : Rick Riolo

Download or read book Genetic Programming Theory and Practice written by Rick Riolo and published by Springer Science & Business Media. This book was released on 2003-11-30 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.