Genetic Algorithms and Engineering Optimization by Mitsuo GenGenetic Algorithms and Engineering Optimization by Mitsuo Gen

Genetic Algorithms and Engineering Optimization

byMitsuo Gen, Runwei Cheng

Hardcover | December 28, 1999

Pricing and Purchase Info


Earn 1,027 plum® points

Prices and offers may vary in store


In stock online

Ships free on orders over $25

Not available in stores


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.
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.
Title:Genetic Algorithms and Engineering OptimizationFormat:HardcoverDimensions:512 pages, 9.43 × 6.32 × 1.2 inPublished:December 28, 1999Publisher:WileyLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0471315311

ISBN - 13:9780471315315

Look for similar items by category:


Table of Contents

Foundations of Genetic Algorithms.

Combinatorial Optimization Problems.

Multiobjective Optimization Problems.

Fuzzy Optimization Problems.

Reliability Design Problems.

Scheduling Problems.

Advanced Transportation Problems.

Network Design and Routing.

Manufacturing Cell Design.



From Our Editors

Two internationally acclaimed experts in the field of genetic algorithms and artificial intelligence address important optimization techniques in the area of industrial engineering and manufacturing. specifically focusing on the use of genetic algorithms to improve design and produce high-quality products, Genetic Algorithms and Engineering Optimization by Mitsuo Gen and Runwei Cheng is the only book to cover recent technologies and their applications to engineering, design and manufacturing. This exceptional text will create a better understanding of the importance of collaboration between scientists and engineers.