Computational Management Science
State of the Art 2014
Edición de la obra Computational Management Science
| Autor | Raquel J. Fonseca, Gerhard-Wilhelm Weber, João Telhada |
|---|---|
| Editorial | Springer London, Limited |
| Fecha de publicación | 2015 |
| Idioma | inglés |
| Páginas | 245 |
| ISBN-13 | 9783319204307 |
| Número de Cutter | F676c |
This volume contains contributions from the 11th International Conference on Management Science (CMS 2014), held at Lisbon, Portugal, on May 29-31, 2014. Its contents reflect the wide scope of Management Science, covering different theoretical aspects for a quite diverse set of applications. Computational Management Science provides a unique perspective in relevant decision-making processes by focusing on all its computational aspects. These include computational economics, finance and statistics; energy; scheduling; supply chains; design, analysis and applications of optimization algorithms; deterministic, dynamic, stochastic, robust and combinatorial optimization models; solution algorithms, learning and forecasting such as neural networks and genetic algorithms; models and tools of knowledge acquisition, such as data mining; and all other topics in management science with the emphasis on computational paradigms.