Computational Management Science State of the Art 2014 /

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. Computa...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Fonseca, Raquel J. (Επιμελητής έκδοσης), Weber, Gerhard-Wilhelm (Επιμελητής έκδοσης), Telhada, João (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2016.
Έκδοση:1st ed. 2016.
Σειρά:Lecture Notes in Economics and Mathematical Systems, 682
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
LEADER 03060nam a22005655i 4500
001 978-3-319-20430-7
003 DE-He213
005 20151222074014.0
007 cr nn 008mamaa
008 151222s2016 gw | s |||| 0|eng d
020 |a 9783319204307  |9 978-3-319-20430-7 
024 7 |a 10.1007/978-3-319-20430-7  |2 doi 
040 |d GrThAP 
050 4 |a HD30.23 
072 7 |a KJT  |2 bicssc 
072 7 |a KJMD  |2 bicssc 
072 7 |a BUS049000  |2 bisacsh 
082 0 4 |a 658.40301  |2 23 
245 1 0 |a Computational Management Science  |h [electronic resource] :  |b State of the Art 2014 /  |c edited by Raquel J. Fonseca, Gerhard-Wilhelm Weber, João Telhada. 
250 |a 1st ed. 2016. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2016. 
300 |a XXI, 245 p. 39 illus., 17 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Lecture Notes in Economics and Mathematical Systems,  |x 0075-8442 ;  |v 682 
505 0 |a Part I: Energy -- Part II: Logistics -- Part III: Production -- Part IV: Optimization Methods. 
520 |a 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. 
650 0 |a Business. 
650 0 |a Operations research. 
650 0 |a Decision making. 
650 0 |a Economics, Mathematical. 
650 0 |a Management science. 
650 0 |a Energy industries. 
650 1 4 |a Business and Management. 
650 2 4 |a Operation Research/Decision Theory. 
650 2 4 |a Operations Research, Management Science. 
650 2 4 |a Energy Economics. 
650 2 4 |a Quantitative Finance. 
700 1 |a Fonseca, Raquel J.  |e editor. 
700 1 |a Weber, Gerhard-Wilhelm.  |e editor. 
700 1 |a Telhada, João.  |e editor. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783319204291 
830 0 |a Lecture Notes in Economics and Mathematical Systems,  |x 0075-8442 ;  |v 682 
856 4 0 |u http://dx.doi.org/10.1007/978-3-319-20430-7  |z Full Text via HEAL-Link 
912 |a ZDB-2-BUM 
950 |a Business and Management (Springer-41169)