Genetic Algorithms In Applications

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Genetic Algorithms in Applications

Rustem Popa
Genetic Algorithms in Applications Book PDF

Author : Rustem Popa
Publisher : BoD – Books on Demand
Page : 332 pages
File Size : 50,5 Mb
Release : 2012-03-21
Category : Computers
ISBN : 9789535104001

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Genetic Algorithms in Applications by Rustem Popa Pdf

Genetic Algorithms (GAs) are one of several techniques in the family of Evolutionary Algorithms - algorithms that search for solutions to optimization problems by "evolving" better and better solutions. Genetic Algorithms have been applied in science, engineering, business and social sciences. This book consists of 16 chapters organized into five sections. The first section deals with some applications in automatic control, the second section contains several applications in scheduling of resources, and the third section introduces some applications in electrical and electronics engineering. The next section illustrates some examples of character recognition and multi-criteria classification, and the last one deals with trading systems. These evolutionary techniques may be useful to engineers and scientists in various fields of specialization, who need some optimization techniques in their work and who may be using Genetic Algorithms in their applications for the first time. These applications may be useful to many other people who are getting familiar with the subject of Genetic Algorithms.

Genetic Algorithms and Applications for Stock Trading Optimization

Kapoor, Vivek,Dey, Shubhamoy
Genetic Algorithms and Applications for Stock Trading Optimization Book PDF

Author : Kapoor, Vivek,Dey, Shubhamoy
Publisher : IGI Global
Page : 262 pages
File Size : 41,8 Mb
Release : 2021-06-25
Category : Computers
ISBN : 9781799841067

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Genetic Algorithms and Applications for Stock Trading Optimization by Kapoor, Vivek,Dey, Shubhamoy Pdf

Genetic algorithms (GAs) are based on Darwin’s theory of natural selection and survival of the fittest. They are designed to competently look for solutions to big and multifaceted problems. Genetic algorithms are wide groups of interrelated events with divided steps. Each step has dissimilarities, which leads to a broad range of connected actions. Genetic algorithms are used to improve trading systems, such as to optimize a trading rule or parameters of a predefined multiple indicator market trading system. Genetic Algorithms and Applications for Stock Trading Optimization is a complete reference source to genetic algorithms that explains how they might be used to find trading strategies, as well as their use in search and optimization. It covers the functions of genetic algorithms internally, computer implementation of pseudo-code of genetic algorithms in C++, technical analysis for stock market forecasting, and research outcomes that apply in the stock trading system. This book is ideal for computer scientists, IT specialists, data scientists, managers, executives, professionals, academicians, researchers, graduate-level programs, research programs, and post-graduate students of engineering and science.

The Practical Handbook of Genetic Algorithms

Lance D. Chambers
The Practical Handbook of Genetic Algorithms Book PDF

Author : Lance D. Chambers
Publisher : CRC Press
Page : 464 pages
File Size : 53,7 Mb
Release : 2019-09-17
Category : Mathematics
ISBN : 9781420050073

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The Practical Handbook of Genetic Algorithms by Lance D. Chambers Pdf

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

Real-World Applications of Genetic Algorithms

Olympia Roeva
Real World Applications of Genetic Algorithms Book PDF

Author : Olympia Roeva
Publisher : BoD – Books on Demand
Page : 379 pages
File Size : 55,7 Mb
Release : 2012-03-07
Category : Computers
ISBN : 9789535101468

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Real-World Applications of Genetic Algorithms by Olympia Roeva Pdf

The book addresses some of the most recent issues, with the theoretical and methodological aspects, of evolutionary multi-objective optimization problems and the various design challenges using different hybrid intelligent approaches. Multi-objective optimization has been available for about two decades, and its application in real-world problems is continuously increasing. Furthermore, many applications function more effectively using a hybrid systems approach. The book presents hybrid techniques based on Artificial Neural Network, Fuzzy Sets, Automata Theory, other metaheuristic or classical algorithms, etc. The book examines various examples of algorithms in different real-world application domains as graph growing problem, speech synthesis, traveling salesman problem, scheduling problems, antenna design, genes design, modeling of chemical and biochemical processes etc.

Parallel Genetic Algorithms

Gabriel Luque,Enrique Alba
Parallel Genetic Algorithms Book PDF

Author : Gabriel Luque,Enrique Alba
Publisher : Springer Science & Business Media
Page : 173 pages
File Size : 42,5 Mb
Release : 2011-06-15
Category : Computers
ISBN : 9783642220838

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Parallel Genetic Algorithms by Gabriel Luque,Enrique Alba Pdf

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.

Proceedings of the First International Conference on Genetic Algorithms and their Applications

John J. Grefenstette
Proceedings of the First International Conference on Genetic Algorithms and their Applications Book PDF

Author : John J. Grefenstette
Publisher : Psychology Press
Page : 345 pages
File Size : 46,9 Mb
Release : 2014-01-02
Category : Psychology
ISBN : 9781317760245

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Proceedings of the First International Conference on Genetic Algorithms and their Applications by John J. Grefenstette Pdf

Computer solutions to many difficult problems in science and engineering require the use of automatic search methods that consider a large number of possible solutions to the given problems. This book describes recent advances in the theory and practice of one such search method, called Genetic Algorithms. Genetic algorithms are evolutionary search techniques based on principles derived from natural population genetics, and are currently being applied to a variety of difficult problems in science, engineering, and artificial intelligence.

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 : 45,9 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 and their Applications

John J. Grefenstette
Genetic Algorithms and their Applications Book PDF

Author : John J. Grefenstette
Publisher : Psychology Press
Page : 629 pages
File Size : 47,8 Mb
Release : 2013-08-21
Category : Psychology
ISBN : 9781134989805

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Genetic Algorithms and their Applications by John J. Grefenstette Pdf

First Published in 1987. This is the collected proceedings of the second International Conference on Genetic Algorithms held at the Massachusetts Institute of Technology, Cambridge, MA on the 28th to the 31st July 1987. With papers on Genetic search theory, Adaptive search operators, representation issues, connectionism and parallelism, credit assignment ad learning, and applications.

Evolutionary Algorithms in Engineering Applications

Dipankar Dasgupta,Zbigniew Michalewicz
Evolutionary Algorithms in Engineering Applications Book PDF

Author : Dipankar Dasgupta,Zbigniew Michalewicz
Publisher : Springer Science & Business Media
Page : 561 pages
File Size : 47,7 Mb
Release : 2013-06-29
Category : Computers
ISBN : 9783662034231

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Evolutionary Algorithms in Engineering Applications by Dipankar Dasgupta,Zbigniew Michalewicz Pdf

Evolutionary algorithms are general-purpose search procedures based on the mechanisms of natural selection and population genetics. They are appealing because they are simple, easy to interface, and easy to extend. This volume is concerned with applications of evolutionary algorithms and associated strategies in engineering. It will be useful for engineers, designers, developers, and researchers in any scientific discipline interested in the applications of evolutionary algorithms. The volume consists of five parts, each with four or five chapters. The topics are chosen to emphasize application areas in different fields of engineering. Each chapter can be used for self-study or as a reference by practitioners to help them apply evolutionary algorithms to problems in their engineering domains.

Industrial Applications of Genetic Algorithms

Charles Karr,L. Michael Freeman
Industrial Applications of Genetic Algorithms Book PDF

Author : Charles Karr,L. Michael Freeman
Publisher : CRC Press
Page : 360 pages
File Size : 52,5 Mb
Release : 1998-12-29
Category : Computers
ISBN : 0849398010

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Industrial Applications of Genetic Algorithms by Charles Karr,L. Michael Freeman Pdf

Genetic algorithms (GAs) are computer-based search techniques patterned after the genetic mechanisms of biological organisms that have adapted and flourished in changing, highly competitive environments for millions of years. GAs have been successfully applied to problems in a variety of studies, and their popularity continues to increase because of their effectiveness, applicability, and ease of use. Industrial Applications of Genetic Algorithms shows how GAs have made the leap form their origins in the laboratory to the practicing engineer's toolbox. Each chapter in the book describes a project completed by a graduate student at the University of Alabama.

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 : 40,5 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.

Adaptive Learning by Genetic Algorithms

Herbert Dawid
Adaptive Learning by Genetic Algorithms Book PDF

Author : Herbert Dawid
Publisher : Springer Science & Business Media
Page : 173 pages
File Size : 45,7 Mb
Release : 2012-12-06
Category : Business & Economics
ISBN : 9783662002117

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Adaptive Learning by Genetic Algorithms by Herbert Dawid Pdf

An analysis of the learning behavior of genetic algorithms in economic systems with mutual interaction, such as markets. These systems are characterized by a state-dependent fitness function and - for the first time - mathematical results characterizing the long-term outcome of genetic learning in such systems are provided. The usefulness of such results is illustrated by many simulations in evolutionary games and economic models.

Genetic Algorithms

Julia Carson
Genetic Algorithms Book PDF

Author : Julia Carson
Publisher : Unknown
Page : 0 pages
File Size : 45,7 Mb
Release : 2017
Category : Genetic algorithms
ISBN : 1536118567

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Genetic Algorithms by Julia Carson Pdf

In Chapter One, a revision and complementary analysis of three interesting cases where stochastic strategies are applied to get the optimal design of intensified schemes is presented. The revisited cases include multicomponent, extractive and reactive thermally coupled distillation. Chapter Two performs parameter optimisation on a genetic algorithm to skip the tuning parameter process during unmanned aerial vehicle path planning. Results show that truncation selection at 20% is highly recommended for genetic algorithm path planning application because of its low average path and computational costs. Chapter 3 describes the calibration of the numerical model of the Monte da Virgem telecommunications tower, located near the city of Porto, Portugal. The calibration of the numerical model of the tower relies on the application of an iterative method based on a genetic algorithm. Chapter 4 describes the genetic algorithm-based calibration procedure for a microscopic traffic simulation model, focusing on freeways and modern roundabouts. For both case studies, the genetic algorithm tool in MATLAB® was applied in order to reach the convergence between the outputs from Aimsun microscopic simulator and the observed data.

Classification and Learning Using Genetic Algorithms

Sanghamitra Bandyopadhyay,Sankar Kumar Pal
Classification and Learning Using Genetic Algorithms Book PDF

Author : Sanghamitra Bandyopadhyay,Sankar Kumar Pal
Publisher : Springer Science & Business Media
Page : 320 pages
File Size : 49,5 Mb
Release : 2007-05-17
Category : Computers
ISBN : 9783540496076

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Classification and Learning Using Genetic Algorithms by Sanghamitra Bandyopadhyay,Sankar Kumar Pal Pdf

This book provides a unified framework that describes how genetic learning can be used to design pattern recognition and learning systems. It examines how a search technique, the genetic algorithm, can be used for pattern classification mainly through approximating decision boundaries. Coverage also demonstrates the effectiveness of the genetic classifiers vis-à-vis several widely used classifiers, including neural networks.

Evolutionary Algorithms in Management Applications

Jörg Biethahn,Volker Nissen
Evolutionary Algorithms in Management Applications Book PDF

Author : Jörg Biethahn,Volker Nissen
Publisher : Springer Science & Business Media
Page : 384 pages
File Size : 52,6 Mb
Release : 2012-12-06
Category : Business & Economics
ISBN : 9783642612176

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Evolutionary Algorithms in Management Applications by Jörg Biethahn,Volker Nissen Pdf

Evolutionary Algorithms (EA) are powerful search and optimisation techniques inspired by the mechanisms of natural evolution. They imitate, on an abstract level, biological principles such as a population based approach, the inheritance of information, the variation of information via crossover/mutation, and the selection of individuals based on fitness. The most well-known class of EA are Genetic Algorithms (GA), which have received much attention not only in the scientific community lately. Other variants of EA, in particular Genetic Programming, Evolution Strategies, and Evolutionary Programming are less popular, though very powerful too. Traditionally, most practical applications of EA have appeared in the technical sector. Management problems, for a long time, have been a rather neglected field of EA-research. This is surprising, since the great potential of evolutionary approaches for the business and economics domain was recognised in pioneering publications quite a while ago. John Holland, for instance, in his seminal book Adaptation in Natural and Artificial Systems (The University of Michigan Press, 1975) identified economics as one of the prime targets for a theory of adaptation, as formalised in his reproductive plans (later called Genetic Algorithms).