Genetic Algorithms and Engineering Design by Mitsuo Gen covers the modern application of genetic algorithms in industrial engineering and operations research. This study book provides a clear introduction to these algorithms and their role in complex optimization problems in engineering design and production processes.
Contents
The book begins with a practical explanation of genetic algorithms, aimed at solving related constrained and combinatorial optimization issues. It then develops various application areas, including sequencing, scheduling, transportation planning, facility layout and location optimization. Each topic is illustrated with a clear problem statement, a mathematical model, and an overview of conventional heuristics. This approach makes the complex material accessible without unnecessary technical obstacles.
The work also standardizes the terminology and symbols used in the literature on genetic algorithms and engineering design. This makes it a valuable resource for both beginning students and professionals who want to explore the latest developments in algorithmic optimization in industrial environments.
Product specifications
- Author: Mitsuo Gen (Ashikaga Institute of Technology, Japan)
- Series: Engineering Design and Automation
- Publisher: John Wiley & Sons Inc
- Imprint: Wiley-Interscience
- Publication date: 1997-02-21
- Number of pages: 432
- ISBN: 9780471127413
- Subject: Artificial intelligence (AI)
- BISAC: COMPUTERS / Artificial Intelligence / General
About the author
Mitsuo Gen is a professor at the Ashikaga Institute of Technology in Japan and specializes in the application of genetic algorithms in industrial engineering. Together with co-author Runwei Cheng, also an expert in artificial intelligence and manufacturing systems, he offers in-depth knowledge that makes this reference work a leading resource in engineering design and optimization techniques.