Computational Management Science

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Details

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.

Autorentext

Raquel J. Fonseca is a professor at the Faculty of Sciences, University of Lisbon and a member of the Operations Research Centre. She completed her PhD in robust optimization of international portfolios at Imperial College in 2011. Prior to her Phd, she worked in financial consulting at PricewaterhouseCoopers in Lisbon. Her main research interests are robust optimization and operations research applied to finance and economics.

João Telhada is a professor at the Faculty of Sciences, University of Lisbon and member of the Operations Research Center. He completed his PhD in Statistics and Operations Research at the University of Lisbon in 2004. He took part in several projects with some industry partners, mainly in the transportations and mobility area. His main scientific activity has been on integer programming reformulations, mainly for network optimization problems. Gerhard-Wilhelm Weber is a professor at Institute of Applied Mathematics, METU, Ankara, Turkey. His research in on optimization and control OR finance, life and human sciences, data mining and inverse problems. He received Diploma and Doctorate in Mathematics and Economics/BA at RWTH Aachen and his Habilitation at TU Darmstadt. He held Professorships by proxy at University of Cologne and TU Chemitz (Germany); he has international affiliations and honorary positions and is Advisor to EURO Conferences.

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

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783319204291
    • Auflage 1st edition 2016
    • Editor Raquel J. Fonseca, João Telhada, Gerhard-Wilhelm Weber
    • Sprache Englisch
    • Genre Allgemeines & Lexika
    • Lesemotiv Verstehen
    • Größe H235mm x B155mm x T15mm
    • Jahr 2015
    • EAN 9783319204291
    • Format Kartonierter Einband
    • ISBN 3319204297
    • Veröffentlichung 23.12.2015
    • Titel Computational Management Science
    • Untertitel State of the Art 2014
    • Gewicht 411g
    • Herausgeber Springer International Publishing
    • Anzahl Seiten 268

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