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  E-mail Message: I thought you might be interested in this item at http://www.worldcat.org/oclc/41411903 Title: Genetic algorithms and engineering optimization Author: Mitsuo Gen; Runwei Cheng Publisher: New York : Wiley, 2000. ISBN/ISSN: 0471315311 9780471315315 OCLC:41411903

  
  

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Genetic algorithms and engineering optimization

Author:	Mitsuo Gen; Runwei Cheng
Publisher:	New York : Wiley, 2000.
Series:	Wiley series in engineering design and automation.
Edition/Format:	Print book : EnglishView all editions and formats
Summary:	"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." "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, and 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."--Jacket.  Read more...
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Subjects	Industrial engineering -- Mathematical models. Genetic algorithms. Mathematical optimization. View all subjects
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