@article{753168,
      author = {Fonseca, Raquel J.},
      url = {http://library.usi.edu/record/753168},
      title = {Computational Management Science State of the art 2014 /  [electronic resource] :. International Conference on  Management Science},
      abstract = {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.},
      recid = {753168},
      pages = {1 online resource (xxi, 245 pages) :},
}