Advanced Optimization Methods and Applications, 2nd Edition
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Computational and Applied Mathematics".
Deadline for manuscript submissions: closed (31 January 2024) | Viewed by 7607
Special Issue Editors
Interests: algorithms; optimization; network flow; DTN-based algorithms for UAVs; methods for map building
Special Issues, Collections and Topics in MDPI journals
Interests: photovoltaic systems; hybrid systems characterization; concentrated light systems; hybrid system reliability
Special Issues, Collections and Topics in MDPI journals
Interests: photovoltaic systems; hybrid systems; energy harvesting; modeling of the photovoltaic cells and panels
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
You are invited to submit papers related to all aspects of optimization algorithms, graph theory, network optimization, location problems, fuzzy optimization, optimal control, machine learning, artificial intelligence, and parallel programming, from both theoretical and applied perspectives.
Optimization methods are finding increasing applications in all domains and play an essential role in dealing with real-life problems. Algorithms for such problems are continuously being developed and improved to obtain higher-quality solutions within a reasonable timeframe. Metaheuristic methods inspired by the behavior of different populations of people or the behavior of swarms of animals or insects are currently used to solve optimization problems for which optimal solutions cannot be obtained using exact methods within a reasonable amount of time.
Dr. Adrian Deaconu
Prof. Dr. Petru Adrian Cotfas
Prof. Dr. Daniel Tudor Cotfas
Guest Editors
Manuscript Submission Information
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Keywords
- optimization algorithms
- heuristics and metaheuristics
- approximation algorithms
- network optimization
- location problems
- fuzzy optimization
- combinatorial optimization
- inverse optimization problems
- robust optimization
- graph theory
- optimal control
- forecasting
- machine learning
- artificial intelligence
- parallel programming
- mathematical optimization
- optimization applications
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