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  • 1
    UID:
    b3kat_BV013807391
    Format: XVI, 495 S. , graph. Darst.
    ISBN: 0471315311
    Series Statement: Wiley series in engineering design and automation
    Language: English
    Subjects: Computer Science
    RVK:
    RVK:
    Keywords: Genetischer Algorithmus
    Author information: Gen, Mitsuo 1944-
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    UID:
    b3kat_BV035033136
    Format: 1 Online-Ressource (X, 698 S.) , 512 schw.-w. Ill., 201 schw.-w. Tab., 15 schw.-w. Fotos, 497 schw.-w. graph. Darst.
    Edition: 1. Ed.
    ISBN: 9781848001817
    Series Statement: Decision Engineering
    Additional Edition: Erscheint auch als Druck-Ausgabe, Hardcover ISBN 1-8480-0180-0
    Additional Edition: Erscheint auch als Druck-Ausgabe, Hardcover ISBN 978-1-8480-0180-0
    Language: English
    Subjects: Computer Science
    RVK:
    Keywords: Netzwerktheorie ; Genetischer Algorithmus
    Library Location Call Number Volume/Issue/Year Availability
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  • 3
    UID:
    b3kat_BV011295589
    Format: XIX, 411 S. , graph. Darst.
    ISBN: 0471127418
    Series Statement: Wiley series in engineering design and automation
    Language: English
    Subjects: Computer Science
    RVK:
    RVK:
    Keywords: Genetischer Algorithmus ; Optimierung ; Konstruieren ; Genetischer Algorithmus
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  • 4
    Online Resource
    Online Resource
    New York :Wiley,
    UID:
    almafu_9959328693302883
    Format: 1 online resource (xix, 411 pages) : , illustrations
    Edition: Electronic reproduction. [Place of publication not identified] : HathiTrust Digital Library, 2010.
    ISBN: 9780470172254 , 0470172258
    Content: The last few years have seen important advances in the use of genetic algorithms to address challenging optimization problems in industrial engineering. Genetic Algorithms and Engineering Design is the only book to cover the most recent technologies and their application to manufacturing, presenting a comprehensive and fully up-to-date treatment of genetic algorithms in industrial engineering and operations research. Beginning with a tutorial on genetic algorithm fundamentals and their use in solving constrained and combinatorial optimization problems, the book applies these techniques to problems in specific areas--sequencing, scheduling and production plans, transportation and vehicle routing, facility layout, location-allocation, and more. Each topic features a clearly written problem description, mathematical model, and summary of conventional heuristic algorithms. All algorithms are explained in intuitive, rather than highly-technical, language and are reinforced with illustrative figures and numerical examples. Written by two internationally acknowledged experts in the field, Genetic Algorithms and Engineering Design features original material on the foundation and application of genetic algorithms, and also standardizes the terms and symbols used in other sources--making this complex subject truly accessible to the beginner as well as to the more advanced reader. Ideal for both self-study and classroom use, this self-contained reference provides indispensable state-of-the-art guidance to professionals and students working in industrial engineering, management science, operations research, computer science, and artificial intelligence. The only comprehensive, state-of-the-art treatment available on the use of genetic algorithms in industrial engineering and operations research ... Written by internationally recognized experts in the field of genetic algorithms and artificial intelligence, Genetic Algorithms and Engineering Design provides total coverage of current technologies and their application to manufacturing systems. Incorporating original material on the foundation and application of genetic algorithms, this unique resource also standardizes the terms and symbols used in other sources--making this complex subject truly accessible to students as well as experienced professionals. Designed for clarity and ease of use, this self-contained reference: Provides a comprehensive survey of selection strategies, penalty techniques, and genetic operators used for constrained and combinatorial optimization problems; Shows how to use genetic algorithms to make production schedules, solve facility/location problems, make transportation/vehicle routing plans, enhance system reliability, and much more; Contains detailed numerical examples, plus more than 160 auxiliary figures to make solution procedures transparent and understandable.
    Note: Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002.
    Additional Edition: Print version: Gen, Mitsuo, 1944- Genetic algorithms and engineering design. New York : Wiley, ©1997 ISBN 0471127418
    Additional Edition: ISBN 9780471127413
    Language: English
    Keywords: Electronic books. ; Electronic books. ; Electronic books.
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  • 5
    Online Resource
    Online Resource
    New York :Wiley,
    UID:
    almafu_9959328693202883
    Format: 1 online resource (xvi, 495 pages) : , illustrations
    Edition: Electronic reproduction. [Place of publication not identified] : HathiTrust Digital Library, 2010.
    ISBN: 9780470172261 , 0470172266
    Content: A comprehensive guide to a powerful new analytical tool by two of its foremost innovators The past decade has witnessed many exciting advances in the use of genetic algorithms (GAs) to solve optimization problems in everything from product design to scheduling and client/server networking. Aided by GAs, analysts and designers now routinely evolve solutions to complex combinatorial and multiobjective optimization problems with an ease and rapidity unthinkable withconventional methods. Despite the continued growth and refinement of this powerful analytical tool, there continues to be a lack of up-to-date guides to contemporary GA optimization principles and practices. Written by two of the world's leading experts in the field, this book fills that gap in the literature. Taking an intuitive approach, Mitsuo Gen and Runwei Cheng employ numerous illustrations and real-world examples to help readers gain a thorough understanding of basic GA concepts-including encoding, adaptation, and genetic optimizations-and to show how GAs can be used to solve an array of constrained, combinatorial, multiobjective, and fuzzy optimization problems. Focusing on problems commonly encountered in industry-especially in manufacturing-Professors Gen and Cheng provide in-depth coverage of advanced GA techniques for: Reliability design; Manufacturing cell design; Scheduling; Advanced transportation problems; Network design and routing. Genetic Algorithms and Engineering Optimization is an indispensable working resource for industrial engineers and designers, as well as systems analysts, operations researchers, and management scientists working in manufacturing and related industries. It also makes an excellent primary or supplementary text for advanced courses in industrial engineering, management science, operations research, computer science, and artificial intelligence.
    Note: Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002.
    Additional Edition: Print version: Gen, Mitsuo, 1944- Genetic algorithms and engineering optimization. New York : Wiley, 2000 ISBN 0471315311
    Additional Edition: ISBN 9780471315315
    Language: English
    Keywords: Electronic books. ; Electronic books. ; Electronic books.
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  • 6
    UID:
    kobvindex_ZLB14874143
    Format: X, 698 Seiten , Ill., graph. Darst.
    Edition: 1
    ISBN: 9781848001800 , 1848001800
    Series Statement: Decision engineering
    Note: Text engl.
    Language: English
    Keywords: Industrial Engineering ; Mathematisches Modell ; Genetischer Algorithmus
    Author information: Gen, Mitsuo
    Library Location Call Number Volume/Issue/Year Availability
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