The Journal of Optimization Theory and Applications publishes carefully selected papers covering mathematical optimization techniques and their applications to science and engineering. An applications paper should be as much about the application of an optimization technique as it is about the solution of a particular problem.
Typical theoretical areas covered in the journal include linear, nonlinear, mathematical, and dynamic programming. Among the areas of application covered are mathematical economics, mathematical physics and biology, and aerospace, chemical, civil, electrical, and mechanical engineering.
The Journal of Optimization Theory and Applications journal publishes six types of contributions: regular papers, invited papers, survey papers, technical notes, book notices, and forums (very short papers containing comments on published papers, discussions of open problems, discussions of research perspectives, and so on).97% of authors who answered a survey reported that they would definitely publish or probably publish in the journal again
- Bruce Conway,
- Franco Giannessi
- Publishing model
- Hybrid. Open Choice – What is this?
- Impact factor: 1.600 (2018)
- Five year impact factor: 1.749 (2018)
- Submission to first decision: 70 days
- Acceptance to publication: 12 days
- Downloads: 165,587 (2018)