Special Issue "Applied Optimization for Solving Real-World Problems"
Deadline for manuscript submissions: 20 December 2023 | Viewed by 3513
Interests: operations research; optimization; mathematical modeling; supply chain management; forecasting; financial optimization
We invite you to submit your research in the area of optimization and its application in business to the Special Issue, "Applied Optimization for Solving Real-World Problems," in Axioms.
On a daily basis, many enterprises face decision-making problems that can be solved with optimization. However, many enterprises prefer to use other decision-making approaches such as simulation to overcome such problems because, in general, optimization solutions are more difficult to debug, even when optimization delivers higher-quality analytical solutions. Applying optimization to solve real-world problems is difficult because the complexity of the problems varies from many features that make them difficult to solve that depends on how the real-world problem is translated to a mathematical formulation with its parameters, variables, constraints, and objectives. The combination of multiple variables, constraints, and input data make real-world problems have unknown search spaces with many difficulties that demean the performance of optimization algorithms. Hence, real-world optimization problems require a deep understanding of the problem, its parameters, its variables, its constraints, and its objectives to design mathematical formulations that are as non-complex possible but that are capable of solving all their required decisions.
This Special Issue aims to seek out high-quality articles from industry-related scholars and researchers in the areas of applied optimization in mathematics, economics, business, logistics, production, transportation, supply chain, finance, etc. We are interested in publishing articles that solve the problems of real companies through the development of optimization models. The results of their applications in real practice should be shown, discussed, and analysed. High-quality papers are solicited to address practical issues in the development of efficient mathematical models to represent real-world business problems and their applications along with the solution of a particular problem. Submissions that present new business models with solutions methods and their applications are welcome. Potential topics include, but are not limited to, applications of mathematical economics, business analytics models, financial optimization, supply chain optimization, and business optimization.
Prof. Dr. Rafael Bernardo Carmona Benítez
Dr. João Lemos Nabais
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.
- applied optimization
- mathematical economics
- business analytics models
- financial optimization
- supply chain optimization
- business optimization