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Optimization publishes work focused on all aspects of mathematical optimization. The section welcomes submissions from academic and industry researchers that seek to advance fundamentals of optimization methods, or develop applications of these tools for use in other related fields.
This section provides an Open-Access publishing forum for the optimization community and also encourages interdisciplinary collaboration through the development of Frontiers Research Topic article collections. Please note that all submissions to Optimization must be considered in-scope of both this section and the journal to be considered for publication.
Indexed in: Scopus, Google Scholar, DOAJ, CrossRef, Semantic Scholar, CLOCKSS
Optimization welcomes submissions of the following article types: Correction, Data Report, Editorial, General Commentary, Hypothesis and Theory, Methods, Mini Review, Opinion, Original Research, Perspective, Review and Technology and Code.
All manuscripts must be submitted directly to the section Optimization, where they are peer-reviewed by the Associate and Review Editors of the specialty section.
Articles published in the section Optimization will benefit from the Frontiers impact and tiering system after online publication. Authors of published original research with the highest impact, as judged democratically by the readers, will be invited by the Chief Editor to write a Frontiers Focused Review - a tier-climbing article. This is referred to as "democratic tiering". The author selection is based on article impact analytics of original research published in all Frontiers specialty journals and sections. Focused Reviews are centered on the original discovery, place it into a broader context, and aim to address the wider community across all of Applied Mathematics and Statistics.
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For all queries regarding manuscripts in Review and potential conflicts of interest, please contact firstname.lastname@example.org
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