Computational Management Science [electronic resource] : State of the art 2014 / Raquel J. Fonseca, Gerhard-Wilhelm Weber, João Telhada, editors.
2016
T55.45
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Title
Computational Management Science [electronic resource] : State of the art 2014 / Raquel J. Fonseca, Gerhard-Wilhelm Weber, João Telhada, editors.
Meeting Name
International Conference on Management Science (11th : 2014 : Lisbon, Portugal), issuing body.
ISBN
3319204300 (electronic book)
9783319204307 (electronic book)
3319204297
9783319204307 (electronic book)
3319204297
Published
Cham : Springer International Publishing, [2016]
Copyright
©2016
Language
English
Description
1 online resource (xxi, 245 pages) : illustrations.
Item Number
9783319204291
Call Number
T55.45
Dewey Decimal Classification
658
Summary
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.
Bibliography, etc. Note
Includes bibliographical references.
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Access limited to authorized users.
Source of Description
Description based on print version record.
Added Author
Fonseca, Raquel J.
Series
Lecture notes in economics and mathematical systems ; 682.
Available in Other Form
Computational Management Science : State of the Art 2014.
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Table of Contents
Part I: Energy
Part II: Logistics
Part III: Production
Part IV: Optimization Methods.
Part II: Logistics
Part III: Production
Part IV: Optimization Methods.