Ordinal Optimization

CHF 93.55
Auf Lager
SKU
Q0SSNL7FUCR
Stock 1 Verfügbar
Geliefert zwischen Mi., 26.11.2025 und Do., 27.11.2025

Details

This book addresses the difficulties of the optimization of complex systems. It does this via simulation models or other computation-intensive models involving possible stochastic effects and discrete choices.


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 is the first book to focus solely on ordinal optimization methodology and its applications. The 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. The methodology of ordinal optimization has been under continuous development since 1992, resulting in a complete methodology and many success stories roughly paralleling those of cardinal optimization.


The methodology of ordinal optimization has been under continuous development since 1992, resulting in a complete methodology and many success stories roughly paralleling those of cardinal optimization Over 200 references to ordinal optimization in archival journals First book to focus solely on ordinal optimization methodology and its applications

Autorentext

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.

Inhalt
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.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09781441942432
    • Auflage Softcover reprint of hardcover 1st edition 2007
    • Sprache Englisch
    • Genre Allgemeines & Lexika
    • Lesemotiv Verstehen
    • Größe H235mm x B155mm x T19mm
    • Jahr 2010
    • EAN 9781441942432
    • Format Kartonierter Einband
    • ISBN 1441942432
    • Veröffentlichung 29.10.2010
    • Titel Ordinal Optimization
    • Autor Yu-Chi Ho , Qing-Shan Jia , Qian-Chuan Zhao
    • Untertitel Soft Optimization for Hard Problems
    • Gewicht 511g
    • Herausgeber Springer US
    • Anzahl Seiten 336

Bewertungen

Schreiben Sie eine Bewertung
Nur registrierte Benutzer können Bewertungen schreiben. Bitte loggen Sie sich ein oder erstellen Sie ein Konto.
Made with ♥ in Switzerland | ©2025 Avento by Gametime AG
Gametime AG | Hohlstrasse 216 | 8004 Zürich | Schweiz | UID: CHE-112.967.470