Ordinal Optimization von Yu-Chi Ho | Soft Optimization for Hard Problems | ISBN 9780387372327

Ordinal Optimization

Soft Optimization for Hard Problems

von Yu-Chi Ho, Qian-Chuan Zhao und Qing-Shan Jia
Mitwirkende
Autor / AutorinYu-Chi Ho
Autor / AutorinQian-Chuan Zhao
Autor / AutorinQing-Shan Jia
Buchcover Ordinal Optimization | Yu-Chi Ho | EAN 9780387372327 | ISBN 0-387-37232-6 | ISBN 978-0-387-37232-7
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)

Ordinal Optimization

Soft Optimization for Hard Problems

von Yu-Chi Ho, Qian-Chuan Zhao und Qing-Shan Jia
Mitwirkende
Autor / AutorinYu-Chi Ho
Autor / AutorinQian-Chuan Zhao
Autor / AutorinQing-Shan Jia

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.