Genetic algorithms and engineering optimization Mitsuo Gen, Runwei Cheng.

By: Gen, MitsuoContributor(s): Cheng, RunweiPublisher: New York : Wiley, 2000Description: 495 p. : illISBN: 0471315311Subject(s): Industrial engineering -- Mathematical models | Genetic algorithms | Mathematical optimizationDDC classification: 511.8 Review: "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."--BK JACKET.
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Item type Current location Home library Collection Shelving location Call number Status Date due Barcode Item holds
Book Book Central Library (CL)
Central Library (CL)
NFIC General Stacks 511.8 GEN (Browse shelf) Available SEECS004175
Book Book Central Library (CL)
Central Library (CL)
NFIC General Stacks 511.8 GEN (Browse shelf) Available SEECS004176
Total holds: 0

"A Wiley-Interscience publication."

"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."--BK JACKET.

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