Special Issue "Application of Machine Learning and Optimization Methods in Engineering Mathematics"
Deadline for manuscript submissions: 28 December 2023 | Viewed by 5969
Interests: mathematical modeling; the application of artificial intelligence; optimization methods in engineering; building materials
Accelerated urbanization and the construction of the accompanying infrastructure have a significant environmental and social impact worldwide. It is considered that the construction sector is responsible for the consumption of more than 50% of resources globally. Therefore, finding optimal and sustainable solutions for the use of resources is a priority task. In order to consider the problem of optimization of complex systems from all points of view, various considerations are needed, such as engineering, environmental, economic, spatial, climatic, and social. Optimization models can be applied at different levels, from modeling of the behavior of building structures and building materials to prediction of resource consumption of buildings (bridges, buildings, traffic infrastructure), predictive modeling of hydrological systems, and predictions of extreme events. Creating a problem model is a complex process that is accompanied by a large number of influencing factors, uncertainty, and inaccuracy. Using analytical or experimental data, artificial intelligence techniques can model the behavior of complex systems with a large number of influencing variables, whose effects, both individual and synergistic, are unknown or difficult to predict.
This Special Edition analyzes the application of various mathematical and optimization models in applied sciences and engineering, as well as various topics related to sustainability issues in engineering. Potential topics include but are not limited to the following:
- Optimization methods in engineering;
- Multicriteria optimization;
- Operational research in engineering;
- Intelligent decision support systems;
- Environmentally friendly solutions;
- Green building materials;
- Application of machine learning techniques;
- Project management;
- Construction management.
Dr. Miljan Kovačević
Dr. Borko Đ. Bulajić
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.
- optimization methods
- multicriteria optimization
- operational research
- intelligent decision support systems
- environmentally friendly solutions
- green building materials
- application of machine learning techniques
- project management
- construction management