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Overview

Optimization Letters covers all aspects of optimization, including theory, algorithms, computational studies, and applications. This journal provides an outlet for short communications in the field, as optimization continues to develop and expand across disciplines at an astonishing rate.

Optimization Letters features concise and succinct articles, approximately 15 journal pages in length. Articles featured within this journal are accessible to readers, working in optimization, searching for information on recent developments within the field.
 

Officially cited as: Optim Lett
Editor-in-Chief
  • Pavlo Krokhmal,
  • Oleg A. Prokopyev
Impact factor
1.6 (2022)
5 year impact factor
1.6 (2022)
Submission to first decision (median)
15 days
Downloads
175,190 (2023)

Latest articles

Journal updates

  • SI: Computational Methods for Supply Chain and Logistics Planning Problems

    This special issue is devoted to recent advances that leverage computational methods for dealing with high degrees of complexity and uncertainty to address complex supply chain and logistics problems. 

    Submission Deadline: March 1, 2024.

    Guest Editors: Joseph Geunes, Texas A&M University, College Station, TX; Bahar Çavdar, Texas A&M University, College Station, TX; Reem Khir, Purdue University, West Lafayette, IN

  • SI: Recent Advances in Bilevel Optimization and its Applications

    This special issue of Optimization Letters is open to all areas of bilevel optimization, from theoretical research to practical applications. Submissions related to both exact and heuristic approaches are also welcomed. 

    Submission Deadline: September 30, 2023

    Guest Editors: Jorge A. Sefair, University of Florida; Jose L. Walteros, University at Buffalo; Leonardo Lozano, University of Cincinnati

  • SI: Advances in Computational Optimization and Their Modern Applications

    ‘Optimization’ and ‘Computing’ are highly interconnected research domains. This intertwinement has become even more highlighted in recent years with the resurgence of learning-based approaches such as machine learning, deep learning, and reinforcement learning and the emergence of concepts including crowdsourcing, smart and connected communities/systems, and autonomous and electric vehicles in various application domains. Therefore, this special issue seeks to rapidly disseminate concise and short high-quality articles (limited to a total of ten journal pages) to the community on recent advances in computational optimization and their modern applications.

    Submission Deadline: December 1st, 2022 (We encourage early submissions)

    Guest Editors:
    Hadi Charkhgard, University of South Florida, U.S.A., hcharkhgard@usf.edu 
    Jinkyoo Park, KAIST, Korea, jinkyoo.park@kaist.ac.kr 
    Changhyun Kwon, University of South Florida, U.S.A., chkwon@usf.edu

  • Best Paper Award

    The Best Paper Award for Optimization Letters is awarded annually to honor the authors of the best paper published in the journal in the previous year.

Journal information

Electronic ISSN
1862-4480
Print ISSN
1862-4472
Abstracted and indexed in
  1. ANVUR
  2. BFI List
  3. Baidu
  4. CLOCKSS
  5. CNKI
  6. CNPIEC
  7. Current Contents/Engineering, Computing and Technology
  8. DBLP
  9. Dimensions
  10. EBSCO
  11. ECONIS
  12. EI Compendex
  13. Google Scholar
  14. INSPEC
  15. Japanese Science and Technology Agency (JST)
  16. Mathematical Reviews
  17. Naver
  18. Norwegian Register for Scientific Journals and Series
  19. OCLC WorldCat Discovery Service
  20. Portico
  21. ProQuest
  22. SCImago
  23. SCOPUS
  24. Science Citation Index Expanded (SCIE)
  25. TD Net Discovery Service
  26. UGC-CARE List (India)
  27. Wanfang
  28. zbMATH
Copyright information

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