The Practical Handbook of Genetic Algorithms Book

The Practical Handbook of Genetic Algorithms


  • Author : Lance D. Chambers
  • Publisher : CRC Press
  • Release Date : 2019-09-17
  • Genre: Mathematics
  • Pages : 464
  • ISBN 10 : 9781420050073

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The Practical Handbook of Genetic Algorithms Excerpt :

The mathematics employed by genetic algorithms (GAs)are among the most exciting discoveries of the last few decades. But what exactly is a genetic algorithm? A genetic algorithm is a problem-solving method that uses genetics as its model of problem solving. It applies the rules of reproduction, gene crossover, and mutation to pseudo-organism

Practical Handbook of Genetic Algorithms Book

Practical Handbook of Genetic Algorithms


  • Author : Lance D. Chambers
  • Publisher : CRC Press
  • Release Date : 2019-09-17
  • Genre: Computers
  • Pages : 592
  • ISBN 10 : 1420050087

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Practical Handbook of Genetic Algorithms Excerpt :

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

Practical Genetic Algorithms Book

Practical Genetic Algorithms


  • Author : Randy L. Haupt
  • Publisher : John Wiley & Sons
  • Release Date : 2004-07-30
  • Genre: Technology & Engineering
  • Pages : 272
  • ISBN 10 : 9780471671756

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Practical Genetic Algorithms Excerpt :

* This book deals with the fundamentals of genetic algorithms and their applications in a variety of different areas of engineering and science * Most significant update to the second edition is the MATLAB codes that accompany the text * Provides a thorough discussion of hybrid genetic algorithms * Features more examples than first edition

The Practical Handbook of Genetic Algorithms Book

The Practical Handbook of Genetic Algorithms


  • Author : Lance D. Chambers
  • Publisher : CRC Press
  • Release Date : 2019-09-17
  • Genre: Mathematics
  • Pages : 464
  • ISBN 10 : 1420050079

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The Practical Handbook of Genetic Algorithms Excerpt :

The mathematics employed by genetic algorithms (GAs)are among the most exciting discoveries of the last few decades. But what exactly is a genetic algorithm? A genetic algorithm is a problem-solving method that uses genetics as its model of problem solving. It applies the rules of reproduction, gene crossover, and mutation to pseudo-organism

An Introduction to Genetic Algorithms Book
Score: 3
From 7 Ratings

An Introduction to Genetic Algorithms


  • Author : Melanie Mitchell
  • Publisher : MIT Press
  • Release Date : 1998-03-02
  • Genre: Computers
  • Pages : 221
  • ISBN 10 : 0262631857

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An Introduction to Genetic Algorithms Excerpt :

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.

Handbook of Genetic Algorithms Book

Handbook of Genetic Algorithms


  • Author : Lawrence Davis
  • Publisher : Van Nostrand Reinhold Company
  • Release Date : 1991
  • Genre: Algorithms
  • Pages : 385
  • ISBN 10 : UOM:39015049369583

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Handbook of Genetic Algorithms Excerpt :

The Practical Handbook of Genetic Algorithms Book

The Practical Handbook of Genetic Algorithms


  • Author : Lance D. Chambers
  • Publisher : CRC Press
  • Release Date : 2000-12-07
  • Genre: Computers
  • Pages : 544
  • ISBN 10 : 9781420035568

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The Practical Handbook of Genetic Algorithms Excerpt :

Rapid developments in the field of genetic algorithms along with the popularity of the first edition precipitated this completely revised, thoroughly updated second edition of The Practical Handbook of Genetic Algorithms. Like its predecessor, this edition helps practitioners stay up to date on recent developments in the field and provides material

Handbook of Bioinspired Algorithms and Applications Book

Handbook of Bioinspired Algorithms and Applications


  • Author : Stephan Olariu
  • Publisher : CRC Press
  • Release Date : 2005-09-29
  • Genre: Computers
  • Pages : 704
  • ISBN 10 : 9781420035063

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Handbook of Bioinspired Algorithms and Applications Excerpt :

The mystique of biologically inspired (or bioinspired) paradigms is their ability to describe and solve complex relationships from intrinsically very simple initial conditions and with little or no knowledge of the search space. Edited by two prominent, well-respected researchers, the Handbook of Bioinspired Algorithms and Applications reveals the

Introduction to Evolutionary Computing Book
Score: 5
From 1 Ratings

Introduction to Evolutionary Computing


  • Author : Agoston E. Eiben
  • Publisher : Springer Science & Business Media
  • Release Date : 2013-03-14
  • Genre: Computers
  • Pages : 300
  • ISBN 10 : 9783662050941

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Introduction to Evolutionary Computing Excerpt :

The first complete overview of evolutionary computing, the collective name for a range of problem-solving techniques based on principles of biological evolution, such as natural selection and genetic inheritance. The text is aimed directly at lecturers and graduate and undergraduate students. It is also meant for those who wish to apply evolutionary computing to a particular problem or within a given application area. The book contains quick-reference information on the current state-of-the-art in a wide range of related topics, so it is of interest not just to evolutionary computing specialists but to researchers working in other fields.

Artificial Intelligence Methods in the Environmental Sciences Book

Artificial Intelligence Methods in the Environmental Sciences


  • Author : Sue Ellen Haupt
  • Publisher : Springer Science & Business Media
  • Release Date : 2008-11-28
  • Genre: Science
  • Pages : 424
  • ISBN 10 : 9781402091193

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Artificial Intelligence Methods in the Environmental Sciences Excerpt :

How can environmental scientists and engineers use the increasing amount of available data to enhance our understanding of planet Earth, its systems and processes? This book describes various potential approaches based on artificial intelligence (AI) techniques, including neural networks, decision trees, genetic algorithms and fuzzy logic. Part I contains a series of tutorials describing the methods and the important considerations in applying them. In Part II, many practical examples illustrate the power of these techniques on actual environmental problems. International experts bring to life ways to apply AI to problems in the environmental sciences. While one culture entwines ideas with a thread, another links them with a red line. Thus, a “red thread“ ties the book together, weaving a tapestry that pictures the ‘natural’ data-driven AI methods in the light of the more traditional modeling techniques, and demonstrating the power of these data-based methods.

Differential Evolution Book

Differential Evolution


  • Author : Kenneth Price
  • Publisher : Springer Science & Business Media
  • Release Date : 2006-03-04
  • Genre: Mathematics
  • Pages : 539
  • ISBN 10 : 9783540313069

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Differential Evolution Excerpt :

Problems demanding globally optimal solutions are ubiquitous, yet many are intractable when they involve constrained functions having many local optima and interacting, mixed-type variables. The differential evolution (DE) algorithm is a practical approach to global numerical optimization which is easy to understand, simple to implement, reliable, and fast. Packed with illustrations, computer code, new insights, and practical advice, this volume explores DE in both principle and practice. It is a valuable resource for professionals needing a proven optimizer and for students wanting an evolutionary perspective on global numerical optimization.

Practical Handbook of Genetic Algorithms Book

Practical Handbook of Genetic Algorithms


  • Author : Lance D. Chambers
  • Publisher : CRC Press
  • Release Date : 2019-09-17
  • Genre: Computers
  • Pages : 592
  • ISBN 10 : 9781420050080

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Practical Handbook of Genetic Algorithms Excerpt :

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 Book
Score: 4.5
From 3 Ratings

A Field Guide to Genetic Programming


  • Author : Anonim
  • Publisher : Lulu.com
  • Release Date : 2008
  • Genre: Computers
  • Pages : 233
  • ISBN 10 : 9781409200734

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A Field Guide to Genetic Programming 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.

Robust Control Systems with Genetic Algorithms Book

Robust Control Systems with Genetic Algorithms


  • Author : Mo Jamshidi
  • Publisher : CRC Press
  • Release Date : 2018-10-03
  • Genre: Technology & Engineering
  • Pages : 232
  • ISBN 10 : 9781420058345

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Robust Control Systems with Genetic Algorithms Excerpt :

In recent years, new paradigms have emerged to replace-or augment-the traditional, mathematically based approaches to optimization. The most powerful of these are genetic algorithms (GA), inspired by natural selection, and genetic programming, an extension of GAs based on the optimization of symbolic codes. Robust Control Systems with Genetic Algorithms builds a bridge between genetic algorithms and the design of robust control systems. After laying a foundation in the basics of GAs and genetic programming, it demonstrates the power of these new tools for developing optimal robust controllers for linear control systems, optimal disturbance rejection controllers, and predictive and variable structure control. It also explores the application of hybrid approaches: how to enhance genetic algorithms and programming with fuzzy logic to design intelligent control systems. The authors consider a variety of applications, such as the optimal control of robotic manipulators, flexible links and jet engines, and illustrate a multi-objective, genetic algorithm approach to the design of robust controllers with a gasification plant case study. The authors are all masters in the field and clearly show the effectiveness of GA techniques. Their presentation is your first opportunity to fully explore this cutting-edge approach to robust optimal control system design and exploit its methods for your own applications.

Structural Identification and Damage Detection Using Genetic Algorithms Book

Structural Identification and Damage Detection Using Genetic Algorithms


  • Author : Chan Ghee Koh
  • Publisher : CRC Press
  • Release Date : 2017-06-16
  • Genre: Uncategoriezed
  • Pages : 140
  • ISBN 10 : 1138111929

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Structural Identification and Damage Detection Using Genetic Algorithms Excerpt :

Rapid advances in computational methods and computer capabilities have led to a new generation of structural identification strategies. Robust and efficient methods have successfully been developed on the basis of genetic algorithms (GA). This volume presents the development of a novel GA-based identification strategy that contains several advantageous features compared to previous methods. Focusing on structural identification problems with limited and noise contaminated measurements; it provides insight into the effects of various identification parameters on the identification accuracy for systems with known mass. It then proposes a generalization for systems with unknown mass, stiffness and damping properties. The GA identification strategy is subsequently extended for structural damage detection. The findings of the output-only strategy and substructural identification represent a great leap forward from the practical point of view. This book is intended for researchers, engineers and graduate students in structural and mechanical engineering, particularly for those interested in model calibration, parameter estimation and damage detection of structural and mechanical systems using the state-of-the-art GA methodology.