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[null,"1.","Record Nr.",null,"UNINA9910254931603321"]
[null,null,"Titolo",null,"Computational Management Science : State of the Art 2014 / / edited by Raquel J. Fonseca, Gerhard-Wilhelm Weber, João Telhada"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016"]
[null,null,"ISBN",null,"3-319-20430-0"]
[null,null,"Edizione",null,"[1st ed. 2016.]"]
[null,null,"Descrizione fisica",null,"1 online resource (249 p.)"]
[null,null,"Collana",null,"Lecture Notes in Economics and Mathematical Systems, , 2196-9957 ; ; 682"]
[null,null,"Disciplina",null,"658.05416"]
[null,null,"Soggetti",null,"Operations research"]
[{"$nulls":4},"Management science"]
[{"$nulls":4},"Energy policy"]
[{"$nulls":4},"Energy and state"]
[{"$nulls":4},"Social sciences - Mathematics"]
[{"$nulls":4},"Operations Research and Decision Theory"]
[{"$nulls":4},"Operations Research, Management Science"]
[{"$nulls":4},"Energy Policy, Economics and Management"]
[{"$nulls":4},"Mathematics in Business, Economics and Finance"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references at the end of each chapters."]
[null,null,"Nota di contenuto",null,"Part I: Energy -- Part II: Logistics -- Part III: Production -- Part IV: Optimization Methods."]
[null,null,null,"Sommario/riassunto","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 "]
[{"$nulls":4},"paradigms."]