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Numerical Optimization: Algorithms and Applications
This special issue belongs to the section “E: Applied Mathematics“.
Special Issue Information
Dear Colleagues,
Optimization has a wide range of uses in science, engineering, economics, and industry. The practice of optimization depends not only on efficient and robust algorithms but also on good modeling techniques, careful interpretation of results and user-friendly software.
The development and improvement of optimization techniques are of great significance for the study of corresponding science problems. The aim of this Special Issue is to report on the latest achievements and recent development in the algorithms and applications for optimization problems, including in largescale optimization techniques such as interior-point methods, inexact Newton methods, limited-memory methods and some numerical optimizations that are not limited.
This Special Issue will collect high-quality original research articles as well as review articles in the above scope.
Dr. Xinguang Zhang
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 250 words) can be sent to the Editorial Office for assessment.
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
- optimization for process modeling
- numerical simulation of the optimization problems
- optimization for process control
- global optimization
- stochastic optimization
- robust optimization
- multi-criteria optimization problems
- operations research problems
- optimization on graphs and networks
- optimization in logistics
- optimization of manufacturing processes
- vehicle routing and other transportation problems
- control-theoretic problems
- exact solution algorithms
- machine-learning
- complexity issues
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