Genetic Algorithms And Genetic Programming

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Genetic Algorithms and Genetic Programming in Computational Finance

Shu-Heng Chen
Genetic Algorithms and Genetic Programming in Computational Finance Book PDF

Author : Shu-Heng Chen
Publisher : Springer Science & Business Media
Page : 491 pages
File Size : 52,6 Mb
Release : 2012-12-06
Category : Business & Economics
ISBN : 9781461508359

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Genetic Algorithms and Genetic Programming in Computational Finance by Shu-Heng Chen Pdf

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 and Genetic Programming

Michael Affenzeller,Stefan Wagner,Stephan Winkler,Andreas Beham
Genetic Algorithms and Genetic Programming Book PDF

Author : Michael Affenzeller,Stefan Wagner,Stephan Winkler,Andreas Beham
Publisher : CRC Press
Page : 395 pages
File Size : 41,5 Mb
Release : 2009-04-09
Category : Computers
ISBN : 9781420011326

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Genetic Algorithms and Genetic Programming by Michael Affenzeller,Stefan Wagner,Stephan Winkler,Andreas Beham Pdf

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 Algorithms + Data Structures = Evolution Programs

Zbigniew Michalewicz
Genetic Algorithms Data Structures Evolution Programs Book PDF

Author : Zbigniew Michalewicz
Publisher : Springer Science & Business Media
Page : 257 pages
File Size : 44,9 Mb
Release : 2013-06-29
Category : Mathematics
ISBN : 9783662028308

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Genetic Algorithms + Data Structures = Evolution Programs by Zbigniew Michalewicz Pdf

'What does your Master teach?' asked a visitor. 'Nothing,' said the disciple. 'Then why does he give discourses?' 'He only points the way - he teaches nothing.' Anthony de Mello, One Minute Wisdom During the last three decades there has been a growing interest in algorithms which rely on analogies to natural processes. The emergence of massively par allel computers made these algorithms of practical interest. The best known algorithms in this class include evolutionary programming, genetic algorithms, evolution strategies, simulated annealing, classifier systems, and neural net works. Recently (1-3 October 1990) the University of Dortmund, Germany, hosted the First Workshop on Parallel Problem Solving from Nature [164]. This book discusses a subclass of these algorithms - those which are based on the principle of evolution (survival of the fittest). In such algorithms a popu lation of individuals (potential solutions) undergoes a sequence of unary (muta tion type) and higher order (crossover type) transformations. These individuals strive for survival: a selection scheme, biased towards fitter individuals, selects the next generation. After some number of generations, the program converges - the best individual hopefully represents the optimum solution. There are many different algorithms in this category. To underline the sim ilarities between them we use the common term "evolution programs" .

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 : 46,5 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.

Introduction to Genetic Algorithms

S.N. Sivanandam,S. N. Deepa
Introduction to Genetic Algorithms Book PDF

Author : S.N. Sivanandam,S. N. Deepa
Publisher : Springer Science & Business Media
Page : 453 pages
File Size : 47,6 Mb
Release : 2007-10-24
Category : Technology & Engineering
ISBN : 9783540731900

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Introduction to Genetic Algorithms by S.N. Sivanandam,S. N. Deepa Pdf

This book offers a basic introduction to genetic algorithms. It provides a detailed explanation of genetic algorithm concepts and examines numerous genetic algorithm optimization problems. In addition, the book presents implementation of optimization problems using C and C++ as well as simulated solutions for genetic algorithm problems using MATLAB 7.0. It also includes application case studies on genetic algorithms in emerging fields.

Machine Learning Control – Taming Nonlinear Dynamics and Turbulence

Thomas Duriez,Steven L. Brunton,Bernd R. Noack
Machine Learning Control Taming Nonlinear Dynamics and Turbulence Book PDF

Author : Thomas Duriez,Steven L. Brunton,Bernd R. Noack
Publisher : Springer
Page : 211 pages
File Size : 48,5 Mb
Release : 2016-11-02
Category : Technology & Engineering
ISBN : 9783319406244

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Machine Learning Control – Taming Nonlinear Dynamics and Turbulence by Thomas Duriez,Steven L. Brunton,Bernd R. Noack Pdf

This is the first textbook on a generally applicable control strategy for turbulence and other complex nonlinear systems. The approach of the book employs powerful methods of machine learning for optimal nonlinear control laws. This machine learning control (MLC) is motivated and detailed in Chapters 1 and 2. In Chapter 3, methods of linear control theory are reviewed. In Chapter 4, MLC is shown to reproduce known optimal control laws for linear dynamics (LQR, LQG). In Chapter 5, MLC detects and exploits a strongly nonlinear actuation mechanism of a low-dimensional dynamical system when linear control methods are shown to fail. Experimental control demonstrations from a laminar shear-layer to turbulent boundary-layers are reviewed in Chapter 6, followed by general good practices for experiments in Chapter 7. The book concludes with an outlook on the vast future applications of MLC in Chapter 8. Matlab codes are provided for easy reproducibility of the presented results. The book includes interviews with leading researchers in turbulence control (S. Bagheri, B. Batten, M. Glauser, D. Williams) and machine learning (M. Schoenauer) for a broader perspective. All chapters have exercises and supplemental videos will be available through YouTube.

Genetic Algorithms + Data Structures = Evolution Programs

Zbigniew Michalewicz
Genetic Algorithms Data Structures Evolution Programs Book PDF

Author : Zbigniew Michalewicz
Publisher : Springer Science & Business Media
Page : 392 pages
File Size : 42,9 Mb
Release : 2013-03-09
Category : Computers
ISBN : 9783662033159

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Genetic Algorithms + Data Structures = Evolution Programs by Zbigniew Michalewicz Pdf

Genetic algorithms are founded upon the principle of evolution, i.e., survival of the fittest. Hence evolution programming techniques, based on genetic algorithms, are applicable to many hard optimization problems, such as optimization of functions with linear and nonlinear constraints, the traveling salesman problem, and problems of scheduling, partitioning, and control. The importance of these techniques is still growing, since evolution programs are parallel in nature, and parallelism is one of the most promising directions in computer science. The book is self-contained and the only prerequisite is basic undergraduate mathematics. This third edition has been substantially revised and extended by three new chapters and by additional appendices containing working material to cover recent developments and a change in the perception of evolutionary computation.

Genetic Programming and Data Structures

W.B. Langdon
Genetic Programming and Data Structures Book PDF

Author : W.B. Langdon
Publisher : Springer Science & Business Media
Page : 298 pages
File Size : 49,9 Mb
Release : 1998-04-30
Category : Computers
ISBN : 0792381351

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Genetic Programming and Data Structures by W.B. Langdon Pdf

Computers that `program themselves' has long been an aim of computer scientists. Recently genetic programming (GP) has started to show its promise by automatically evolving programs. Indeed in a small number of problems GP has evolved programs whose performance is similar to or even slightly better than that of programs written by people. The main thrust of GP has been to automatically create functions. While these can be of great use they contain no memory and relatively little work has addressed automatic creation of program code including stored data. This issue is the main focus of Genetic Programming, and Data Structures: Genetic Programming + Data Structures = Automatic Programming!. This book is motivated by the observation from software engineering that data abstraction (e.g., via abstract data types) is essential in programs created by human programmers. This book shows that abstract data types can be similarly beneficial to the automatic production of programs using GP. Genetic Programming and Data Structures: Genetic Programming + Data Structures = Automatic Programming! shows how abstract data types (stacks, queues and lists) can be evolved using genetic programming, demonstrates how GP can evolve general programs which solve the nested brackets problem, recognises a Dyck context free language, and implements a simple four function calculator. In these cases, an appropriate data structure is beneficial compared to simple indexed memory. This book also includes a survey of GP, with a critical review of experiments with evolving memory, and reports investigations of real world electrical network maintenance scheduling problems that demonstrate that Genetic Algorithms can find low cost viable solutions to such problems. Genetic Programming and Data Structures: Genetic Programming + Data Structures = Automatic Programming! should be of direct interest to computer scientists doing research on genetic programming, genetic algorithms, data structures, and artificial intelligence. In addition, this book will be of interest to practitioners working in all of these areas and to those interested in automatic programming.

Practical Handbook of Genetic Algorithms

Lance D. Chambers
Practical Handbook of Genetic Algorithms Book PDF

Author : Lance D. Chambers
Publisher : CRC Press
Page : 592 pages
File Size : 52,5 Mb
Release : 2019-09-17
Category : Computers
ISBN : 9781420050080

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Practical Handbook of Genetic Algorithms by Lance D. Chambers Pdf

Practical Handbook of Genetic Algorithms, Volume 3: Complex Coding Systems contains computer-code examples for the development of genetic algorithm systems - compiling them from an array of practitioners in the field. Each contribution of this singular resource includes: unique code segments documentation descripti

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 : 52,9 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.

Research Anthology on Multi-Industry Uses of Genetic Programming and Algorithms

Management Association, Information Resources
Research Anthology on Multi Industry Uses of Genetic Programming and Algorithms Book PDF

Author : Management Association, Information Resources
Publisher : IGI Global
Page : 1534 pages
File Size : 42,5 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.

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 : 46,8 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.

Advances in Genetic Programming

Kenneth E. Kinnear (Jr.),Peter J. Angeline
Advances in Genetic Programming Book PDF

Author : Kenneth E. Kinnear (Jr.),Peter J. Angeline
Publisher : MIT Press
Page : 544 pages
File Size : 47,9 Mb
Release : 1994
Category : Computers
ISBN : 0262111888

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Advances in Genetic Programming by Kenneth E. Kinnear (Jr.),Peter J. Angeline Pdf

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

Wolfgang Banzhaf
Genetic Programming Book PDF

Author : Wolfgang Banzhaf
Publisher : Springer Science & Business
Page : 506 pages
File Size : 45,7 Mb
Release : 1998
Category : Computers
ISBN : 155860510X

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Genetic Programming by Wolfgang Banzhaf Pdf

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 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 : 52,6 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.