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Computational Management Science

Computational Management Science : State of the Art 2014.

・ISBN 978-3-319-20429-1 paper EUR 99.99

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お気に入り
著者・編者Fonseca, Raquel J. / Weber, G.-W. / Telhada, J. (eds.),
シリーズLecture Notes in Economics and Mathematical Systems
出版社(Springer, GW)
出版年月2016
ページ数263 pp.
言語ENG
ニュース番号<627-821>

解説

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.