This journal advances and promotes the theory and applications of combinatorial optimization, which is an area of research at the intersection of applied mathematics, computer science, and operations research and which overlaps with many other areas such as computation complexity, computational biology, VLSI design, communication networks, and management science. It includes complexity analysis and algorithm design for combinatorial optimization problems, numerical experiments and problem discovery with applications in science and engineering.

The Journal of Combinatorial Optimization publishes refereed papers dealing with all theoretical, computational and applied aspects of combinatorial optimization. It also publishes reviews of appropriate books and special issues of journals.

  • Advances and promotes the theory and applications of combinatorial optimization
  • Deals with all theoretical, computational and applied aspects of combinatorial optimization
  • Includes reviews of appropriate books and special issues of journals
  • 100% of authors who answered a survey reported that they would definitely publish or probably publish in the journal again

Journal information

Editor-in-Chief
  • My T. Thai
Publishing model
Hybrid. Open Access options available

Journal metrics

0.816 (2018)
Impact factor
0.840 (2018)
Five year impact factor
134 days
Submission to first decision
271 days
Submission to acceptance
69,621 (2019)
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Latest articles

This journal has 49 open access articles

Journal updates

  • 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.

  • SI: Combinatorial Optimization in Imaging Sciences

    Guest Editors: Reneta Barneva (SUNY at Fredonia, USA) and Tibor Lukić (University of Novi Sad, Serbia)

    Submission Deadline: October 15, 2020

    The main objective of this special issue is to stimulate researchers to advance the theory of combinatorial optimization and its implementation in developing novel machine intelligence for imaging sciences. Authors are expected to propose original ideas and develop new techniques, structural results, and algorithms that improve researchers’ ability to solve practical problems.


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About this journal

Electronic ISSN
1573-2886
Print ISSN
1382-6905
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