Computational Management Science
Author | : Raquel J. Fonseca |
Publisher | : Springer |
Total Pages | : 249 |
Release | : 2015-12-22 |
ISBN-10 | : 9783319204307 |
ISBN-13 | : 3319204300 |
Rating | : 4/5 (07 Downloads) |
Book excerpt: 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.