Download or read online books in PDF, EPUB and Mobi Format. Click Download or Read Online button to get book now. This site is like a library, Use search box in the widget to get ebook that you want.

Practical Genetic Algorithms

Practical Genetic Algorithms Author Randy L. Haupt
ISBN-10 0471671754
Release 2004-07-30
Pages 272
Download Link Click Here

* 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



Practical Genetic Algorithms

Practical Genetic Algorithms Author Randy L. Haupt
ISBN-10 0471455652
Release 2004-05-31
Pages 253
Download Link Click Here

* 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



Practical Genetic Algorithms

Practical Genetic Algorithms Author Randy L. Haupt
ISBN-10 9780471671756
Release 2004-07-30
Pages 272
Download Link Click Here

* 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



Genetic Algorithms and Genetic Programming

Genetic Algorithms and Genetic Programming Author Michael Affenzeller
ISBN-10 1420011324
Release 2009-04-09
Pages 379
Download Link Click Here

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 algorithm development. The book focuses on both theoretical and empirical aspects. The theoretical sections explore the important and characteristic properties of the basic GA as well as main characteristics of the selected algorithmic extensions developed by the authors. In the empirical parts of the text, the authors apply GAs to two combinatorial optimization problems: the traveling salesman and capacitated vehicle routing problems. To highlight the properties of the algorithmic measures in the field of GP, they analyze GP-based nonlinear structure identification applied to time series and classification problems. Written by core members of the HeuristicLab team, this book provides a better understanding of the basic workflow of GAs and GP, encouraging readers to establish new bionic, problem-independent theoretical concepts. By comparing the results of standard GA and GP implementation with several algorithmic extensions, it also shows how to substantially increase achievable solution quality.



The Practical Handbook of Genetic Algorithms

The Practical Handbook of Genetic Algorithms Author Lance D. Chambers
ISBN-10 9781420035568
Release 2000-12-07
Pages 544
Download Link Click Here

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 they can use productively in their own endeavors. For this edition, the editor again recruited authors at the top of their field and from a cross section of academia and industry, theory and practice. Their contributions detail their own research, new applications, experiment results, and recent advances. Among the applications explored are scheduling problems, optimization, multidimensional scaling, constraint handling, and feature selection and classification. The science and art of GA programming and application has come a long way in the five years since publication of the bestselling first edition. But there still is a long way to go before its bounds are reached-we are still just scratching the surface of GA applications and refinements. By introducing intriguing new applications, offering extensive lists of code, and reporting advances both subtle and dramatic, The Practical Handbook of Genetic Algorithms is designed to help readers contribute to scratching that surface a bit deeper.



Practical Handbook of Genetic Algorithms

Practical Handbook of Genetic Algorithms Author Lance D. Chambers
ISBN-10 1420050087
Release 1998-12-23
Pages 592
Download Link Click Here

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 description of the operations performed rationale for the chosen approach problems the code overcomes or addresses Practical Handbook of Genetic Algorithms, Volume 3: Complex Coding Systems complements the first two volumes in the series by offering examples of computer code. The first two volumes dealt with new research and an overview of the types of applications that could be taken with GAs. This volume differs from its predecessors by specifically concentrating on specific functions in genetic algorithms, serving as the only compilation of useful and usable computer code in the field.



An Introduction to Genetic Algorithms

An Introduction to Genetic Algorithms Author Melanie Mitchell
ISBN-10 0262631857
Release 1998
Pages 209
Download Link Click Here

Genetic algorithms are used in science and engineering for problem solving and as computational models. This brief introduction enables readers to implement and experiment with genetic algorithms on their own. The descriptions of applications and modeling projects stretch beyond the boundaries of computer science to include systems theory, game theory, biology, ecology, and population genetics. 20 illustrations.



Genetic Algorithms in Java Basics

Genetic Algorithms in Java Basics Author Lee Jacobson
ISBN-10 9781484203286
Release 2015-11-28
Pages 154
Download Link Click Here

Genetic Algorithms in Java Basics is a brief introduction to solving problems using genetic algorithms, with working projects and solutions written in the Java programming language. This brief book will guide you step-by-step through various implementations of genetic algorithms and some of their common applications, with the aim to give you a practical understanding allowing you to solve your own unique, individual problems. After reading this book you will be comfortable with the language specific issues and concepts involved with genetic algorithms and you'll have everything you need to start building your own. Genetic algorithms are frequently used to solve highly complex real world problems and with this book you too can harness their problem solving capabilities. Understanding how to utilize and implement genetic algorithms is an essential tool in any respected software developers toolkit. So step into this intriguing topic and learn how you too can improve your software with genetic algorithms, and see real Java code at work which you can develop further for your own projects and research. Guides you through the theory behind genetic algorithms Explains how genetic algorithms can be used for software developers trying to solve a range of problems Provides a step-by-step guide to implementing genetic algorithms in Java



Advances in Evolutionary Algorithms

Advances in Evolutionary Algorithms Author Chang Wook Ahn
ISBN-10 9783540317593
Release 2007-05-22
Pages 172
Download Link Click Here

Genetic and evolutionary algorithms (GEAs) have often achieved an enviable success in solving optimization problems in a wide range of disciplines. This book provides effective optimization algorithms for solving a broad class of problems quickly, accurately, and reliably by employing evolutionary mechanisms.



Genetic Algorithms

Genetic Algorithms Author Kim-Fung Man
ISBN-10 9781447105770
Release 2012-12-06
Pages 344
Download Link Click Here

This comprehensive book gives a overview of the latest discussions in the application of genetic algorithms to solve engineering problems. Featuring real-world applications and an accompanying disk, giving the reader the opportunity to use an interactive genetic algorithms demonstration program.



Genetic Algorithms in Molecular Modeling

Genetic Algorithms in Molecular Modeling Author James Devillers
ISBN-10 9780080532387
Release 1996-06-07
Pages 327
Download Link Click Here

Genetic Algorithms in Molecular Modeling is the first book available on the use of genetic algorithms in molecular design. This volume marks the beginning of an ew series of books, Principles in Qsar and Drug Design, which will be an indispensible reference for students and professionals involved in medicinal chemistry, pharmacology, (eco)toxicology, and agrochemistry. Each comprehensive chapter is written by a distinguished researcher in the field. Through its up to the minute content, extensive bibliography, and essential information on software availability, this book leads the reader from the theoretical aspects to the practical applications. It enables the uninitiated reader to apply genetic algorithms for modeling the biological activities and properties of chemicals, and provides the trained scientist with the most up to date information on the topic. . Extremely topical and timely . Sets the foundations for the development of computer-aided tools for solving numerous problems in QSAR and drug design . Written to be accessible without prior direct experience in genetic algorithms



Practical Handbook of Genetic Algorithms

Practical Handbook of Genetic Algorithms Author Lance D. Chambers
ISBN-10 1420050087
Release 1998-12-23
Pages 592
Download Link Click Here

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 description of the operations performed rationale for the chosen approach problems the code overcomes or addresses Practical Handbook of Genetic Algorithms, Volume 3: Complex Coding Systems complements the first two volumes in the series by offering examples of computer code. The first two volumes dealt with new research and an overview of the types of applications that could be taken with GAs. This volume differs from its predecessors by specifically concentrating on specific functions in genetic algorithms, serving as the only compilation of useful and usable computer code in the field.



An Introduction to Genetic Algorithms for Scientists and Engineers

An Introduction to Genetic Algorithms for Scientists and Engineers Author David A. Coley
ISBN-10 9810236026
Release 1999
Pages 227
Download Link Click Here

This invaluable book has been designed to be useful to most practising scientists and engineers, whatever their field and however rusty their mathematics and programming might be. The approach taken is largely practical, with algorithms being presented in full and working code (in BASIC, FORTRAN, PASCAL AND C) included on a floppy disk to help the reader get up and running as quickly as possible. The text could also be used as part of an undergraduate course on search and optimisation. Student exercises are included at the end of several of the chapters, many of which are computer-based and designed to encourage exploration of the method.



Applied Evolutionary Algorithms in Java

Applied Evolutionary Algorithms in Java Author Robert Ghanea-Hercock
ISBN-10 9780387216157
Release 2013-03-20
Pages 219
Download Link Click Here

This book is intended for students, researchers, and professionals interested in evolutionary algorithms at graduate and postgraduate level. No mathematics beyond basic algebra and Cartesian graphs methods is required, as the aim is to encourage applying the JAVA toolkit to develop an appreciation of the power of these techniques.



Parallel Genetic Algorithms

Parallel Genetic Algorithms Author Gabriel Luque
ISBN-10 9783642220838
Release 2011-06-15
Pages 172
Download Link Click Here

This book is the result of several years of research trying to better characterize parallel genetic algorithms (pGAs) as a powerful tool for optimization, search, and learning. Readers can learn how to solve complex tasks by reducing their high computational times. Dealing with two scientific fields (parallelism and GAs) is always difficult, and the book seeks at gracefully introducing from basic concepts to advanced topics. The presentation is structured in three parts. The first one is targeted to the algorithms themselves, discussing their components, the physical parallelism, and best practices in using and evaluating them. A second part deals with the theory for pGAs, with an eye on theory-to-practice issues. A final third part offers a very wide study of pGAs as practical problem solvers, addressing domains such as natural language processing, circuits design, scheduling, and genomics. This volume will be helpful both for researchers and practitioners. The first part shows pGAs to either beginners and mature researchers looking for a unified view of the two fields: GAs and parallelism. The second part partially solves (and also opens) new investigation lines in theory of pGAs. The third part can be accessed independently for readers interested in applications. The result is an excellent source of information on the state of the art and future developments in parallel GAs.



Parallel Genetic Algorithms

Parallel Genetic Algorithms Author Joachim Stender
ISBN-10 9051990871
Release 1993
Pages 217
Download Link Click Here

Parallel Genetic Algorithms has been writing in one form or another for most of life. You can find so many inspiration from Parallel Genetic Algorithms also informative, and entertaining. Click DOWNLOAD or Read Online button to get full Parallel Genetic Algorithms book for free.



Genetic Algorithms and Investment Strategies

Genetic Algorithms and Investment Strategies Author Richard J. Bauer
ISBN-10 0471576794
Release 1994-02-21
Pages 308
Download Link Click Here

When you combine nature′s efficiency and the computer′s speed, the financial possibilities are almost limitless. Today′s traders and investment analysts require faster, sleeker weaponry in today′s ruthless financial marketplace. Battles are now waged at computer speed, with skirmishes lasting not days or weeks, but mere hours. In his series of influential articles, Richard Bauer has shown why these professionals must add new computerized decision–making tools to their arsenal if they are to succeed. In Genetic Algorithms and Investment Strategies, he uniquely focuses on the most powerful weapon of all, revealing how the speed, power, and flexibility of GAs can help them consistently devise winning investment strategies. The only book to demonstrate how GAs can work effectively in the world of finance, it first describes the biological and historical bases of GAs as well as other computerized approaches such as neural networks and chaos theory. It goes on to compare their uses, advantages, and overall superiority of GAs. In subsequently presenting a basic optimization problem, Genetic Algorithms and Investment Strategies outlines the essential steps involved in using a GA and shows how it mimics nature′s evolutionary process by moving quickly toward a near–optimal solution. Introduced to advanced variations of essential GA procedures, readers soon learn how GAs can be used to: ∗ Solve large, complex problems and smaller sets of problems ∗ Serve the needs of traders with widely different investment philosophies ∗ Develop sound market timing trading rules in the stock and bond markets ∗ Select profitable individual stocks and bonds ∗ Devise powerful portfolio management systems Complete with information on relevant software programs, a glossary of GA terminology, and an extensive bibliography covering computerized approaches and market timing, Genetic Algorithms and Investment Strategies unveils in clear, nontechnical language a remarkably efficient strategic decision–making process that, when imaginatively used, enables traders and investment analysts to reap significant financial rewards.