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.
| ISBN: | 9783319204291 |
| Publication date: | 23rd December 2015 |
| Author: | International Conference on Management Science |
| Publisher: | Springer an imprint of Springer International Publishing |
| Format: | Paperback |
| Pagination: | 245 pages |
| Series: | Lecture Notes in Economics and Mathematical Systems |
| Genres: |
Operational research Management decision making Applied mathematics The environment Economics, Finance, Business and Management |
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.
Computational Management Science features in the following genres: Operational research, Management decision making, Applied mathematics, The environment, Economics, Finance, Business and Management
Computational Management Science is available in Paperback
Computational Management Science was written by International Conference on Management Science and published by Springer an imprint of Springer International Publishing
Computational Management Science has 245 pages
Yes it is part of Lecture Notes in Economics and Mathematical Systems series