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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. 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, shastic, 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.
1121907498
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. 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, shastic, 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.
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Computational Management Science: State of the Art 2014

Computational Management Science: State of the Art 2014

Computational Management Science: State of the Art 2014

Computational Management Science: State of the Art 2014

Overview

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, shastic, 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.

Product Details

ISBN-13: 9783319204291
Publisher: Springer International Publishing
Publication date: 01/23/2016
Series: Lecture Notes in Economics and Mathematical Systems , #682
Edition description: 1st ed. 2016
Pages: 245
Product dimensions: 6.10(w) x 9.25(h) x (d)

About the Author

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”.

Table of Contents

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