This journal publishes research on the analysis and development of computational algorithms and modeling technology for optimization. It examines algorithms either for general classes of optimization problems or for more specific applied problems, stochastic algorithms as well as deterministic algorithms.

Computational Optimization and Applications covers a wide range of topics in optimization, including: large scale optimization, unconstrained optimization, constrained optimization, nondifferentiable optimization, combinatorial optimization, stochastic optimization, multiobjective optimization, and network optimization. It also covers linear programming, complexity theory, automatic differentiation, approximations and error analysis, parametric programming and sensitivity analysis, management science, and more.

This peer-reviewed journal features both research and tutorial papers that provide theoretical analysis, along with carefully designed computational experiments.


Officially cited as: Comput Optim Appl
  • Publishes research on the analysis and development of computational algorithms and modeling technology for optimization.
  • Examines algorithms either for general classes of optimization problems or for more specific applied problems, stochastic algorithms as well as deterministic algorithms.
  • Covers a wide range of topics in optimization.

Journal information

Editor-in-Chief
  • William W. Hager
Publishing model
Hybrid (Transformative Journal). How to publish with us, including Open Access

Journal metrics

2.005 (2021)
Impact factor
2.223 (2021)
Five year impact factor
7 days
Submission to first decision (Median)
118,214 (2021)
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Latest articles

This journal has 86 open access articles

Journal updates

  • SDG 7 Related Publications from Computational Optimization and Applications

    The UN's Sustainable Development Goal 7 is focused on "affordable and clean energy." Learn more about SDG 7 and discover related research published in Computational Optimization and Applications.

    SDG 7 Teaser
  • Recent Top Cited Papers

    Computational Optimization and Applications highlights some of the recent top cited papers from the journal.

  • COAP Best Paper Award

    Each year the Editorial Board of Computational Optimization and Applications selects a paper from the preceding year’s publications for the Best Paper Award.

  • Indexed by Scopus

    Computational Optimization and Applications is indexed by Scopus and has a CiteScore of 3.4 for 2021.

    New Content Item
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About this journal

Electronic ISSN
1573-2894
Print ISSN
0926-6003
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