Genetic Algorithms and Engineering Design / Edition 1

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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.

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Editorial Reviews

Describes the current application of genetic algorithms to problems in industrial engineering and operations research. Introduces the fundamentals of genetic algorithms and their use in solving constrained and combinatorial optimization problems. Then looks at problems in specific areas, including sequencing, scheduling and production plans, transportation and vehicle routing, facility layout, and location allocation. The explanation are intuitive rather than highly technical, and are supported with numerical examples. Suitable for self-study or classrooms. Annotation c. by Book News, Inc., Portland, Or.
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Product Details

  • ISBN-13: 9780471127413
  • Publisher: Wiley
  • Publication date: 1/21/1997
  • Series: Engineering Design and Automation Series, #2
  • Edition number: 1
  • Pages: 432
  • Product dimensions: 6.36 (w) x 9.51 (h) x 1.08 (d)

Meet the Author

MITSUO GEN, PhD, is a professor in the Department of Industrial andSystems Engineering at the Ashikaga Institute of Technology inJapan. An associate editor of the Engineering Design and AutomationJournal and Journal of Engineering Valuation & Cost Analysis,he is also a member of the international editorial advisory boardof Computers & Industrial Engineering. He is the author of twoother books, Linear Programming Using Turbo C and Goal ProgrammingUsing Turbo C.

RUNWEI CHENG, PhD, is a visiting associate professor at theAshikaga Institute of Technology in Japan and also an associateprofessor at the Institute of Systems Engineering at NortheastUniversity in China. Both authors are internationally known expertsin the application of genetic algorithms and artificialintelligence to the field of manufacturing systems.

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Table of Contents

Foundations of Genetic Algorithms.

Constrained Optimization Problems.

Combinatorial Optimization Problems.

Reliability Optimization Problems.

Flow-Shop Sequencing Problems.

Job-Shop Scheduling Problems.

Machine Scheduling Problems.

Transportation Problems.

Facility Layout Design Problems.

Selected Topics in Engineering Design.



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