Ordinal optimization : soft optimization for hard problems

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 sim...

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Bibliographische Detailangaben
Hauptverfasser: Ho, Yu-Chi, 1934-, Jia, Qing-Shan, 1980- (VerfasserIn), Zhao, Qian-Chuan (VerfasserIn)
Format: Livre numérique
Sprache:Anglais
Veröffentlicht: New York, NY : Springer US 2007.
Cham : Springer Nature
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Edition sous un autre format:• Ordinal Optimization, Texte imprimé, 9781441942432
• Ordinal Optimization, Texte imprimé, 9780387372327
• Ordinal Optimization, Texte imprimé, 9780387515533
Beschreibung
Zusammenfassung: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. .
Beschreibung:Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
ISBN:9780387686929
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