Mathematical Optimizations and Operations Research
A special issue of Axioms (ISSN 2075-1680). This special issue belongs to the section "Mathematical Analysis".
Deadline for manuscript submissions: 20 February 2025 | Viewed by 19
Special Issue Editors
Interests: optimization method and its applications; stochasitic programming; robust optimization
Special Issue Information
Dear Colleagues,
The importance of optimization is increasing in addressing complex, real-world problems across various industries and disciplines. As the world becomes more interconnected and data-driven, the need for efficient decision-making processes that leverage mathematical optimization techniques becomes paramount.
The development of mathematical optimization has been marked by significant advancements in theoretical research and practical applications, such as nonconvex optimization algorithms, stochastic optimization, distributionally robust optimization, discrete optimization, optimization theory, and applications in artificial intelligence, transportation, and finance. However, designing efficient algorithms and applying these novel approaches to real problems is still an open issue—particularly for nonconvex optimization, nonsmooth optimization, large-scale optimization, integer programs, and optimization under uncertainty.
This Special Issue invites researchers to report their latest research on developing all aspects of mathematical optimization and new applications in operations research. The scope includes but is not limited to convex and nonconvex optimization, nonsmooth optimization, large-scale optimization, integer program, stochastic optimization, robust optimization, computational methods, and applications of optimization techniques in various domains such as finance, logistics, energy, healthcare, transportation, and manufacturing.
Dr. Shen Peng
Dr. Jia Liu
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Axioms is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- convex and nonconvex optimization
- nonsmooth optimization
- large-scale optimization
- integer program
- stochastic optimization
- robust optimization
- distributionally robust optimization
- artificial intelligence
- operations research
