Mathematical Programming, Optimization and Applications
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "D2: Operations Research and Fuzzy Decision Making".
Deadline for manuscript submissions: 30 June 2026 | Viewed by 12
Special Issue Editor
2. Centre for Information Technologies and Applied Mathematics, University of Nova Gorica, 5000 Nova Gorica, Slovenia
Interests: mathematical programming; combinatorial optimization; mathematical modelling; industrial engineering; operations research; forestry engineering; heuristic algorithms; uncertainty theory; machine learning; forestry planning; algorithm design; transportation; network flows; supply chains; data analysis; statistics; logistics
Special Issue Information
Dear Colleagues,
Mathematical programming and optimization form the cornerstone of decision-making in complex, data-driven systems. These disciplines provide a rigorous framework for modeling real-world problems, developing efficient computational algorithms, and deriving actionable insights. From the foundational theories of linear, nonlinear, and integer programming to the modern advances in robust, stochastic, and large-scale optimization, the field continues to evolve rapidly. This evolution is further accelerated by the increasing complexity of global challenges and the unprecedented availability of data, pushing the boundaries of both theoretical computation and practical application.
This Special Issue aims to showcase the latest theoretical breakthroughs, innovative algorithmic developments, and cutting-edge applications of mathematical programming and optimization.
We seek to highlight how these powerful tools are being leveraged to solve complex problems across a diverse range of fields, including but not limited to engineering, finance, healthcare, logistics, and artificial intelligence. The goal is to foster a dialogue between theorists developing new methods and practitioners applying them to real-world challenges, thereby bridging the gap between abstract mathematical models and tangible impact.
We invite the submission of high-quality, original research articles and comprehensive review papers that present significant contributions to the field.
Topics of interest include, but are not limited to, the following:
- Novel theories and algorithms in linear, nonlinear, conic, and integer programming;
- Advances in large-scale and distributed optimization (e.g., decomposition methods, parallel algorithms);
- Stochastic programming, robust optimization, and distributionally robust optimization under uncertainty;
- Derivative-free and simulation-based optimization techniques;
- Multi-objective and multicriteria optimization frameworks;
- Optimization for machine learning and data science (e.g., model training, hyperparameter tuning);
- Applications in supply chain management, logistics, and transportation networks;
- Optimization problems in energy systems, sustainability, and renewable resources;
- Combinatorial optimization and exact solution methods for complex networks;
- Interplay between optimization and other disciplines like game theory and control systems.
Dr. Ahmad Hosseini
Guest Editor
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. Mathematics is an international peer-reviewed open access semimonthly 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 2600 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
- mathematical programming
- optimization algorithms
- large-scale optimization
- stochastic programming
- robust optimization
- integer programming
- multi-objective optimization
- operations research
- machine learning optimization
- applied optimization
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