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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| Otros Autores: | , |
| Formato: | Libro electrónico |
| Idioma: | Inglés |
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Boston, MA :
Springer US
2007.
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| Colección: | Springer eBooks.
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| Acceso en línea: | Conectar con la versión electrónica |
| Ver en Universidad de Navarra: | https://innopac.unav.es/record=b32709444*spi |
| Sumario: | 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. . |
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| Descripción Física: | XV, 317 p. |
| Formato: | Forma de acceso: World Wide Web. |
| ISBN: | 9780387686929 |
