Computational Management Science: State of the Art 2014
Raquel J. Fonseca and Gerhard-Wilhelm Weber, "Computational Management Science: State of the Art 2014"
English | ISBN: 3319204297 | 2016 | 268 pages | PDF | 3 MB
English | ISBN: 3319204297 | 2016 | 268 pages | PDF | 3 MB
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.