Ordinal Optimization: Soft Optimization for Hard Problems - Hardcover

Ho, Yu-Chi; Zhao, Qian-Chuan; Jia, Qing-Shan

Hardcover

ISBN 10: 0387372326 ISBN 13: 9780387372327

Publisher: Springer, 2007

Synopsis

Performance evaluation of increasingly complex human-made systems requires the use of simulation models. However, these systems are difficult to describe and capture by succinct mathematical models. Accepting the need for search-based methods as a complement to established analytical techniques, quickly narrowing the search for optimum performance (ordinal optimization) is more important than accurately estimating the values of system performance during the process of optimization (cardinal optimization).

The purpose of this book is to address the difficulties of the optimization of complex systems via simulation models or other computation-intensive models involving possible stochastic effects and discrete choices. This book will establish distinct advantages of the "softer" ordinal approach for search-based type problems, analyze its general properties, and show the many orders of magnitude improvement in computational efficiency that is possible.

About this title

About the Author

Yu-Chi Ho (lead author) is the only author whose book in the system/control field has the distinction of being a SCI Citation Classic* as the most referenced book on the subject.  After 37 years, his book is still selling about 500 copies per year without a revision.

Applied Optimal Control (with A.E. Bryson Jr.); Hemisphere-Wiley 1975, first published by Xerox College Publishing 1969.

*Citation Classic, SCIENCE CITATION INDEX (CURRENT CONTENTS) 2/25/80, Vol. 11, No. 8, as the most cited reference on the subject.

Dr. Ho is the founding editor of the international journal, Discrete Event Dynamic Systems.  He is the recipient of various fellowships and awards including the Guggenheim (1970), the IEEE Field Award for Control Engineering and Science (1989), the Chiang Technology Achievement Award (1993), the American Automatic Control Council Bellman Control Heritage Award (1999), the ASME Rufus Oldenburger Award (1999), and the Isaacs Award from the International Society of Dynamic Games (2004).  Dr. Ho is an IEEE Life Fellow and an INFORMS Inaugural Fellow (elected 2002), a Distinguished Member of the IEEE Control Systems Society, a member of the U.S. National Academy of Engineering and a foreign member of the Chinese Academy of Engineering and the Chinese Academy of Sciences.

In addition to serving on various governmental and industrial panels, and professional society administrative bodies, Dr. Ho was the President of the IEEE Robotics & Automation Society in 1988.

 

From the Back Cover

Performance evaluation of increasingly complex human-made systems requires the use of simulation models.  However, these systems are difficult to describe and capture by succint mathematical models.  The purpose of this book is to address the difficulties of the optimization of complex systems via simulation models or other computation-intensive models involving possible stochastic effects and discrete choices.  This book establishes distinct advantages of the "softer" ordinal approach for search-based type problems, analyzes its general properties, and shows the many orders of magnitude improvement in computational efficiency that is possible. 

Edition details

• Publisher: Springer
• Publication date: 2007
• ISBN 10: 0387372326
• ISBN 13: 9780387372327
• Binding: Hardcover
• Language: English
• Number of pages: 332