Computational Management Science is an international journal focusing on all computational aspects of management science. These 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.

The emphasis on computational paradigms is an intended feature of CMS, distinguishing it from more classical operations research journals.

Officially cited as: Comput Manag Sci
  • Emphasizes computational paradigms
  • Presents novel research results in computational methods
  • Publishes papers dedicated to the development and analysis of applicable algorithms, computational models and experience, and balanced sets of applications
  • Provides a central forum for research that is often scattered among various specialized publications

Journal information

  • RĂ¼diger Schultz,
  • Stein-Erik Fleten
Publishing model
Hybrid. Learn about publishing OA with us

Journal metrics

154 days
Submission to first decision
382 days
Submission to acceptance
28,070 (2019)

Latest articles

  1. Authors

    • Stein-Erik Fleten
    • Florentina Paraschiv
    • Content type: Editorial
    • Pages: 161 - 162
This journal has 23 open access articles

Journal updates

  • Announcement!

    We are pleased to announce that the journal Computational Management Science has moved to having two Editors-in-Chief: Prof. Ruediger Schultz (University of Duisburg-Essen, Germany) and, as of 1 August 2020 Prof. Stein-Erik Fleten (Norwegian University of Science and Technology, Trondheim, Norway).

  • COVID-19 and impact on peer review

    As a result of the significant disruption that is being caused by the COVID-19 pandemic we are very aware that many researchers will have difficulty in meeting the timelines associated with our peer review process during normal times.  Please do let us know if you need additional time. Our systems will continue to remind you of the original timelines but we intend to be highly flexible at this time.

View all updates


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