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Computational Management Science

State of the Art 2014

Gerhard-Wilhelm Weber (Hrsg.), João Telhada (Hrsg.), Raquel J. Fonseca (Hrsg.)

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Springer International Publishing img Link Publisher

Sozialwissenschaften, Recht, Wirtschaft / Allgemeines, Lexika

Beschreibung

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.

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Schlagwörter

Decision making, Optimization, Uncertainty, quantitative finance, Risk management, Computational models, Robust optimization