Genetic Algorithms and Engineering Design

Download Genetic Algorithms and Engineering Design PDF Online Free

Author :
Release : 1997-01-21
Genre : Technology & Engineering
Kind :
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

Genetic Algorithms and Engineering Optimization

Download Genetic Algorithms and Engineering Optimization PDF Online Free

Author :
Release : 1999-12-28
Genre : Technology & Engineering
Kind :
Book Rating : 315/5 ( reviews)

Genetic Algorithms and Engineering Optimization - 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 Optimization write by Mitsuo Gen. This book was released on 1999-12-28. Genetic Algorithms and Engineering Optimization available in PDF, EPUB and Kindle. Im Mittelpunkt dieses Buches steht eines der wichtigsten Optimierungsverfahren der industriellen Ingenieurtechnik: Mit Hilfe genetischer Algorithmen lassen sich Qualität, Design und Zuverlässigkeit von Produkten entscheidend verbessern. Das Verfahren beruht auf der Wahrscheinlichkeitstheorie und lehnt sich an die Prinzipien der biologischen Vererbung an: Die Eigenschaften des Produkts werden, unter Beachtung der äußeren Randbedingungen, schrittweise optimiert. Ein hochaktueller Band international anerkannter Autoren. (03/00)

Evolutionary Algorithms in Engineering Applications

Download Evolutionary Algorithms in Engineering Applications PDF Online Free

Author :
Release : 2013-06-29
Genre : Computers
Kind :
Book Rating : 239/5 ( reviews)

Evolutionary Algorithms in Engineering Applications - 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 Evolutionary Algorithms in Engineering Applications write by Dipankar Dasgupta. This book was released on 2013-06-29. Evolutionary Algorithms in Engineering Applications available in PDF, EPUB and Kindle. 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.

Genetic Algorithms

Download Genetic Algorithms PDF Online Free

Author :
Release : 2012-12-06
Genre : Mathematics
Kind :
Book Rating : 77X/5 ( reviews)

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 Genetic Algorithms write by Kim-Fung Man. This book was released on 2012-12-06. Genetic Algorithms available in PDF, EPUB and Kindle. 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

Download Genetic Algorithms in Molecular Modeling PDF Online Free

Author :
Release : 1996-06-07
Genre : Science
Kind :
Book Rating : 381/5 ( reviews)

Genetic Algorithms in Molecular Modeling - 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 in Molecular Modeling write by James Devillers. This book was released on 1996-06-07. Genetic Algorithms in Molecular Modeling available in PDF, EPUB and Kindle. 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