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Computational management science = s...

Fonseca, Raquel J.

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Computational management science = state of the art 2014 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Computational management science/ edited by Raquel J. Fonseca, Gerhard-Wilhelm Weber, Joao Telhada.
其他題名:	state of the art 2014 /
其他作者:	Fonseca, Raquel J.
出版者:	Cham :Springer International Publishing : : 2016.,
面頁冊數:	xxi, 245 p. :ill., digital ;24 cm.
內容註:	Part I: Energy -- Part II: Logistics -- Part III: Production -- Part IV: Optimization Methods.
Contained By:	Springer eBooks
標題:	Management science - Congresses. - Data processing -
電子資源:	http://dx.doi.org/10.1007/978-3-319-20430-7
ISBN:	9783319204307$q(electronic bk.)

Computational management science = state of the art 2014 /
Computational management sciencestate of the art 2014 /[electronic resource] :edited by Raquel J. Fonseca, Gerhard-Wilhelm Weber, Joao Telhada. - Cham :Springer International Publishing :2016. - xxi, 245 p. :ill., digital ;24 cm. - Lecture notes in economics and mathematical systems,6820075-8442 ;. - Lecture notes in economics and mathematical systems ;655..

Part I: Energy -- Part II: Logistics -- Part III: Production -- Part IV: Optimization Methods.

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.

ISBN: 9783319204307$q(electronic bk.)

Standard No.: 10.1007/978-3-319-20430-7doiSubjects--Topical Terms:

2071700
Management science
--Data processing--Congresses.

LC Class. No.: T55.45

Dewey Class. No.: 658

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