Computational Management Science
Salamanca (Spain)
May 31- June 2 2016

CMS journal: Call for papers (pdf format). Deadline extended: 30th November 2016!!!!!

The CMS conference is an annual meeting associated with the journal of Computational Management Science published by Springer. The aim of this conference is to provide a forum for theoreticians and practitioners from academia and industry to exchange knowledge, ideas and results in a broad range of topics relevant to the theory and practice of computational methods, models and empirical analysis for decision making in economics, engineering, finance and management.

The focus is on all computational aspects of management science: theoretical and empirical studies of computational methods, models and empirical analysis. These include computational economics, finance and statistics, energy, scheduling, supply chains, design, analysis and applications of optimisation algorithms, deterministic, dynamic, stochastic, robust and combinatorial optimisation 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.

This edition of the conference is organised by Universidad Rey Juan Carlos and the Euro Working Group on Stochastic Programming.

Special issue of Computational Management Science journal

The international Journal Computational Management Science is editing a special issue on the occasion of the CMS2016 conference.

We invite recent contributions with a strong focus on the computational aspects of management science. Submission is not restricted to participants of the conference.

Topics include theoretical and empirical analysis of computational models; computational statistics; analysis and applications of constrained, unconstrained, robust, stochastic and combinatorial optimisation algorithms; dynamic models, such as dynamic programming and decision trees; new search tools and algorithms for global optimisation, modelling, learning and forecasting; models and tools of knowledge acquisition.

Manuscripts should be submitted via the CMS submission system, choosing special issue: “S.I.: CMS 2016“:

Deadline for the submission of full papers: November 30, 2016. Additional information can be obtained from the guest editors.

Guest Editors:

Antonio Alonso Ayuso
Universidad Rey Juan Carlos, Móstoles (Madrid, Spain)
antonio [dot] alonso [at] urjc [dot] es

Francesca Maggioni
University of Bergamo, Department of Management, Economics and Quantitative Methods, Bergamo (Italy)
francesca [dot] maggioni [at} unibg [dot] it

Euro Working Group on Stochastic Programming

The EURO Working Group on Stochastic Programming is a research groups supported by EURO (The Association of European Operational Research Societies) whose objective is to promote SP research, education, and applications in Europe. Among others activities (see here for more information), EWGSP promotes and supports the CMS2016 conference.

Student Best Paper Prize

A Student Best Paper Prize will be awarded at the CMS conference. The prize is 250 EUR and includes the possibility of publication in the journal of Computational Management Science. If you have good candidates please nominate them by sending an e-mail to info [at]

The deadline for nominations is April 15th. Only registered participants' papers will be considered for the prize.

The program will include a devoted session for presenting the three best papers to compete for the Prize, such that the Jury could make the final choice.

Jury for the Student Best Paper Prize

Antonio Alonso (Chair of the Organizing Committee), Laureano F. Escudero (Chair of the Program Committee), Csaba Fabian (European Working Group on Stochastic Programming, coordinator) and Ruediger Schultz (CMS Journal, Editor-in-Chief).

Latest news

  • 1/8/16
    Paper submission is open
  • 1/8/16
    Registration is open


Cookie policy

We use cookies in order to be able to identify and authenticate you on the website. They are necessary for the correct functioning of it, and therefore they can not be disabled. If you continue browsing the website, you are agreeing with their acceptance, as well as our Privacy Policy.

Additionally, we use Google Analytics in order to analyze the website traffic. They also use cookies and you can accept or refuse them with the buttons below.

You can read more details about our Cookie Policy and our Privacy Policy.