Genetic Algorithms and Engineering Optimization
Language: English
Published by John Wiley and Sons Ltd, 1999
- First Edition
- Hardcover
- New
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Genetic algorithms are probabilistic search techniques based on the principles of biological evolution. As a biological organism evolves to more fully adapt to its environment, a genetic algorithm follows a path of analysis from which a design evolves, one that is optimal for the environmental constraints placed upon it. Series: Engineering Design and Automation. Num Pages: 512 pages, Ill. BIC Classification: TCBG; TGPC. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 164 x 242 x 35. Weight in Grams: 884. . 1999. 1st Edition. Hardcover. . . . .
Seller Inventory # V9780471315315
- Title
- Genetic Algorithms and Engineering Optimization
- Author
- Mitsuo Gen
- Publisher
- John Wiley and Sons Ltd
- Publication year
- 1999
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 0471315311
- ISBN 13
- 9780471315315
- Edition
- 1st Edition
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.
"Synopsis" may belong to another edition of this title.
About the Author
RUNWEI CHENG, PhD, is an associate professor in the Institute of Systems Engineering at Northeastern University in Shenyang, China.
"About the title" may belong to another edition of this title.
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