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Genetic Algorithms and Engineering Optimization Hardcover – December 28, 1999

ISBN-13: 978-0471315315 ISBN-10: 0471315311 Edition: 1st

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Editorial Reviews

From the Back Cover

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.

About the Author

MITSUO GEN, PhD, is a professor in the Department of Industrial and Information Systems Engineering at the Ashikaga Institute of Technology in Ashikaga, Japan.

RUNWEI CHENG, PhD, is an associate professor in the Institute of Systems Engineering at Northeastern University in Shenyang, China.
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Product Details

  • Hardcover: 512 pages
  • Publisher: Wiley-Interscience; 1 edition (December 28, 1999)
  • Language: English
  • ISBN-10: 0471315311
  • ISBN-13: 978-0471315315
  • Product Dimensions: 6.3 x 1.2 x 9.4 inches
  • Shipping Weight: 1.9 pounds (View shipping rates and policies)
  • Average Customer Review: 4.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Best Sellers Rank: #2,993,886 in Books (See Top 100 in Books)

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8 of 9 people found the following review helpful By A Customer on June 14, 2000
Format: Hardcover
After an introductory review of the literature, Gen and Cheng write a chapter on each class of optimization problems that have been solved with genetic algorithms. Within the chapters they systematically describe each technique that has been used to apply genetic algorithms to the particular problem. Descriptions include the underlying math and a step-wise procedure for implementation. These are backed up with multiple graphs and illustrations, and copious references (737 references in all). A few more actual examples would have helped, especially in the Multiobjective Optimization chapter. The clear organization and number of references make this an excellent reference for the practitioner, but the level of detail could make it difficult for someone new to the technique.
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Genetic Algorithms and Engineering Optimization
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