Computational Management Science

State of the Art 2014
1. Auflage 2016
ISBN: 978-3-319-20429-1
Verlag: Springer International Publishing

Buch, Englisch, Band 682, 245 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 4102 g

Reihe: Lecture Notes in Economics and Mathematical Systems

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.

Zielgruppe

Research

Autoren/Hrsg.

Fonseca, Raquel J.

Telhada, João

Weber, Gerhard-Wilhelm

Fachgebiete

• Mathematik | Informatik Mathematik Operations Research
• Wirtschaftswissenschaften Betriebswirtschaft Unternehmensforschung
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Geistes- und Sozialwissenschaften

Inhaltsverzeichnis

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

Über Autor(innen)

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”.