Genetic Algorithms and Engineering Design / Edition 1

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Overview

The last few years have seen important advances in the use of genetic algorithms to address challenging optimization problems in industrial engineering. Genetic Algorithms and Engineering Design is the only book to cover the most recent technologies and their application to manufacturing, presenting a comprehensive and fully up-to-date treatment of genetic algorithms in industrial engineering and operations research. Beginning with a tutorial on genetic algorithm fundamentals and their use in solving constrained and combinatorial optimization problems, the book applies these techniques to problems in specific areas - sequencing, scheduling and vehicle routing, facility layout, location-allocation, and more. Each topic features a clearly written problem description, mathematical model, and summary of conventional heuristic algorithms. All algorithms are explained in intuitive, rather than highly-technical, language and are reinforced with illustrative figures and numerical examples. Ideal for both self-study and classroom use, this self-contained reference provides indispensable state-of-the-art guidance to profeccionals and students working in industrial engineering, management science, operations research, computer science, and artificial intelgence.
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Editorial Reviews

Booknews
Describes the current application of genetic algorithms to problems in industrial engineering and operations research. Introduces the fundamentals of genetic algorithms and their use in solving constrained and combinatorial optimization problems. Then looks at problems in specific areas, including sequencing, scheduling and production plans, transportation and vehicle routing, facility layout, and location allocation. The explanation are intuitive rather than highly technical, and are supported with numerical examples. Suitable for self-study or classrooms. Annotation c. by Book News, Inc., Portland, Or.
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Product Details

Meet the Author

MITSUO GEN, PhD, is a professor in the Department of Industrial and Systems Engineering at the Ashikaga Institute of Technology in Japan. An associate editor of the Engineering Design and Automation Journal and Journal of Engineering Valuation & Cost Analysis, he is also a member of the international editorial advisory board of Computers & Industrial Engineering. He is the author of two other books, Linear Programming Using Turbo C and Goal Programming Using Turbo C.

RUNWEI CHENG, PhD, is a visiting associate professor at the Ashikaga Institute of Technology in Japan and also an associate professor at the Institute of Systems Engineering at Northeast University in China. Both authors are internationally known experts in the application of genetic algorithms and artificial intelligence to the field of manufacturing systems.

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Table of Contents

1 Foundations of Genetic Algorithms 1
2 Constrained Optimization Problems 42
3 Combinatorial Optimization Problems 97
4 Reliability Optimization Problems 133
5 Flow-Shop Sequencing Problems 173
6 Job-Shop Scheduling Problems 190
7 Machine Scheduling Problems 234
8 Transportation Problems 262
9 Facility Layout Design Problems 292
10 Selected Topics in Engineering Design 330
Bibliography 380
Index 407
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