Application of Machine Learning and Optimization Methods in Engineering Mathematics, 2nd Edition
A special issue of Axioms (ISSN 2075-1680). This special issue belongs to the section "Mathematical Analysis".
Deadline for manuscript submissions: 31 May 2026 | Viewed by 37
Special Issue Editors
Interests: mathematical modeling; the application of artificial intelligence; optimization methods in engineering; building materials
Special Issues, Collections and Topics in MDPI journals
Interests: earthquake engineering; structural health monitoring; seismic hazard analysis; seismic risk assessment; bridge engineering
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Following the success of the previous Special Issue, this second edition continues to explore the application of mathematical models, optimization techniques, and data-driven methods in engineering, sustainability, and related applied sciences.
Optimization models and mathematical techniques can be applied at various levels, ranging from the behavior of building structures and materials to the prediction of resource consumption in buildings, bridges, and traffic infrastructure, as well as predictive modeling of hydrological systems and extreme events. Artificial intelligence, machine learning, and statistical methods further enhance the capabilities of mathematical models, capturing effects that would otherwise be difficult to predict.
This Special Issue invites contributions that emphasize mathematical and computational approaches in applied sciences and engineering. Potential topics include, but are not limited to:
- Mathematical modeling of engineering problems;
- Optimization methods in engineering;
- Multicriteria and multi-objective optimization;
- Probabilistic, statistical, and stochastic modeling;
- Numerical methods and simulation techniques;
- Data-driven mathematical modeling and machine learning applications;
- Operational research in engineering;
- Intelligent decision support systems;
- Environmentally friendly and sustainable solutions;
- Green building materials;
- Project and construction management with mathematical approaches.
We warmly invite researchers from academia and industry to contribute with original research papers, case studies, and reviews that advance both theoretical and practical understanding in this interdisciplinary field.
Dr. Miljan Kovačević
Dr. Borko Đ. Bulajić
Guest Editors
Manuscript Submission Information
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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
- 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
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