Industrial Applications of Genetic Algorithms

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Release : 1998-12-29
Genre : Computers
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Book Rating : 018/5 ( reviews)

Industrial Applications of Genetic Algorithms - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Industrial Applications of Genetic Algorithms write by Charles Karr. This book was released on 1998-12-29. Industrial Applications of Genetic Algorithms available in PDF, EPUB and Kindle. 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.

Genetic Algorithms and Engineering Design

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Release : 1997-01-21
Genre : Technology & Engineering
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Book Rating : 413/5 ( reviews)

Genetic Algorithms and Engineering Design - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Genetic Algorithms and Engineering Design write by Mitsuo Gen. This book was released on 1997-01-21. Genetic Algorithms and Engineering Design available in PDF, EPUB and Kindle. The last few years have seen important advances in the use ofgenetic algorithms to address challenging optimization problems inindustrial engineering. Genetic Algorithms and Engineering Designis the only book to cover the most recent technologies and theirapplication to manufacturing, presenting a comprehensive and fullyup-to-date treatment of genetic algorithms in industrialengineering and operations research. Beginning with a tutorial on genetic algorithm fundamentals andtheir use in solving constrained and combinatorial optimizationproblems, the book applies these techniques to problems in specificareas--sequencing, scheduling and production plans, transportationand vehicle routing, facility layout, location-allocation, andmore. Each topic features a clearly written problem description,mathematical model, and summary of conventional heuristicalgorithms. All algorithms are explained in intuitive, rather thanhighly-technical, language and are reinforced with illustrativefigures and numerical examples. Written by two internationally acknowledged experts in the field,Genetic Algorithms and Engineering Design features originalmaterial on the foundation and application of genetic algorithms,and also standardizes the terms and symbols used in othersources--making this complex subject truly accessible to thebeginner as well as to the more advanced reader. Ideal for both self-study and classroom use, this self-containedreference provides indispensable state-of-the-art guidance toprofessionals and students working in industrial engineering,management science, operations research, computer science, andartificial intelligence. The only comprehensive, state-of-the-arttreatment available on the use of genetic algorithms in industrialengineering and operations research . . . Written by internationally recognized experts in the field ofgenetic algorithms and artificial intelligence, Genetic Algorithmsand Engineering Design provides total coverage of currenttechnologies and their application to manufacturing systems.Incorporating original material on the foundation and applicationof genetic algorithms, this unique resource also standardizes theterms and symbols used in other sources--making this complexsubject truly accessible to students as well as experiencedprofessionals. Designed for clarity and ease of use, thisself-contained reference: * Provides a comprehensive survey of selection strategies, penaltytechniques, and genetic operators used for constrained andcombinatorial optimization problems * Shows how to use genetic algorithms to make production schedules,solve facility/location problems, make transportation/vehiclerouting plans, enhance system reliability, and much more * Contains detailed numerical examples, plus more than 160auxiliary figures to make solution procedures transparent andunderstandable

Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms

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Release : 2020-01-29
Genre : Computers
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Book Rating : 945/5 ( reviews)

Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms write by Lakhmi C. Jain. This book was released on 2020-01-29. Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms available in PDF, EPUB and Kindle. Artificial neural networks can mimic the biological information-processing mechanism in - a very limited sense. Fuzzy logic provides a basis for representing uncertain and imprecise knowledge and forms a basis for human reasoning. Neural networks display genuine promise in solving problems, but a definitive theoretical basis does not yet exist for their design. Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms integrates neural net, fuzzy system, and evolutionary computing in system design that enables its readers to handle complexity - offsetting the demerits of one paradigm by the merits of another. This book presents specific projects where fusion techniques have been applied. The chapters start with the design of a new fuzzy-neural controller. Remaining chapters discuss the application of expert systems, neural networks, fuzzy control, and evolutionary computing techniques in modern engineering systems. These specific applications include: direct frequency converters electro-hydraulic systems motor control toaster control speech recognition vehicle routing fault diagnosis Asynchronous Transfer Mode (ATM) communications networks telephones for hard-of-hearing people control of gas turbine aero-engines telecommunications systems design Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms covers the spectrum of applications - comprehensively demonstrating the advantages of fusion techniques in industrial applications.

The Practical Handbook of Genetic Algorithms

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Release : 2000-12-07
Genre : Computers
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Book Rating : 568/5 ( reviews)

The Practical Handbook of Genetic Algorithms - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook The Practical Handbook of Genetic Algorithms write by Lance D. Chambers. This book was released on 2000-12-07. The Practical Handbook of Genetic Algorithms available in PDF, EPUB and Kindle. 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

Genetic Algorithms and Evolution Strategy in Engineering and Computer Science

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Release : 1998-01-21
Genre : Mathematics
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Genetic Algorithms and Evolution Strategy in Engineering and Computer Science - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Genetic Algorithms and Evolution Strategy in Engineering and Computer Science write by D. Quagliarella. This book was released on 1998-01-21. Genetic Algorithms and Evolution Strategy in Engineering and Computer Science available in PDF, EPUB and Kindle. A collection of state-of-the-art lectures by experts in the field of theoretical, numerical and applied aspects of genetic algorithms for the computational treatment of continuous, discrete and combinatorial optimization problems. The theory presented in this book has numerous applications in fluid dynamics, structure mechanics, electromagnetic, automation control, resource optimization, image processing and economics