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Record Nr. |
UNINA9910254931603321 |
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Titolo |
Computational Management Science : State of the Art 2014 / / edited by Raquel J. Fonseca, Gerhard-Wilhelm Weber, João Telhada |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
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ISBN |
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Edizione |
[1st ed. 2016.] |
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Descrizione fisica |
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1 online resource (249 p.) |
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Collana |
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Lecture Notes in Economics and Mathematical Systems, , 2196-9957 ; ; 682 |
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Disciplina |
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Soggetti |
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Operations research |
Management science |
Energy policy |
Energy and state |
Social sciences - Mathematics |
Operations Research and Decision Theory |
Operations Research, Management Science |
Energy Policy, Economics and Management |
Mathematics in Business, Economics and Finance |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references at the end of each chapters. |
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Nota di contenuto |
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Part I: Energy -- Part II: Logistics -- Part III: Production -- Part IV: Optimization Methods. |
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Sommario/riassunto |
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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 |
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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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