Ordinal Optimization

Soft Optimization for Hard Problems

AvYu-Chi Ho,Qian-Chuan Zhao

Inbunden, Engelska, 2007

547 kr

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Häftad

547 kr

Beskrivning

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.

Produktinformation

Utgivningsdatum:2007-09-12
Mått:155 x 235 x 23 mm
Vikt:670 g
Format:Inbunden
Språk:Engelska
Antal sidor:317
Upplaga:2007
Förlag:Springer-Verlag New York Inc.
ISBN:9780387372327

Utforska kategorier

Optimering inom Naturvetenskap och teknik
Systemvetenskap och AI inom Data och IT

Mer om författaren

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.

Recensioner i media

From the reviews: "This book addresses the difficulties of optimization of complex systems via simulation models or computation-intensive models involving possible stochastic effects and discrete choice. The tools described here can be used separately or in addition to other methodological tools of optimization. ... The book is recommended for good engineers and designers dealing with complex problems of optimization." (Constantin Varsan, Zentralblatt MATH, Vol. 1123 (1), 2008) "This unique book arose out of the pioneering efforts of Yu-Chi Ho and his colleagues ... and his students to address complex problems that arise routinely in engineering design and that, because of their complexity, cannot be solved using standard optimization tools. ... This book provides a refreshingly original approach to complex design problems ... . It will greatly interest practitioners and researchers concerned with optimization for hard problems."--- (D. Q. Mayne, Journal of Optimization Theory and Applications, Vol. 145, April, 2010)

Innehållsförteckning

Ordinal Optimization Fundamentals.- Comparison of Selection Rules.- Vector Ordinal Optimization.- Constrained Ordinal Optimization.- Memory Limited Strategy Optimization.- Additional Extensions of the OO Methodology.- Real World Application Examples.