Innovations in Optimization and Operations Research
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Engineering Mathematics".
Deadline for manuscript submissions: 10 February 2025 | Viewed by 5426
Special Issue Editors
Interests: modeling, optimization and control of large scale systems; optimization; operations research
Special Issues, Collections and Topics in MDPI journals
2. A. Pidhornyi Institute of Mechanical Engineering Problems of the National Academy of Sciences of Ukraine, Kharkiv, Ukraine
Interests: mathematical modeling; optimization; packing; operations research
Interests: optimization; mathematical models; mixed integer linear optimization; cutting and packing; multiobjective optimization
Special Issue Information
Dear Colleagues,
The Special Issue "Innovations in Optimization and Operations Research" aims to bring together cutting-edge research and novel advancements in the fields of optimization and operations research. This Special Issue seeks to provide a platform for researchers, practitioners, and experts from diverse disciplines to share their innovative ideas, methodologies, and applications in tackling complex problems related to optimization, decision-making, and resource allocation.
The scope of this Special Issue encompasses, but is not limited to, the following topics:
- Metaheuristic algorithms and optimization techniques;
- Multi-objective optimization and Pareto frontiers;
- Operations research models and applications;
- Combinatorial optimization and network optimization;
- Stochastic optimization and uncertainty modeling;
- Heuristics and algorithms for complex optimization problems;
- Optimization in supply chain management and logistics;
- Robust optimization and sensitivity analysis;
- Game theory and its applications in optimization;
- Evolutionary algorithms and swarm intelligence;
- Optimization in finance, economics, and engineering;
- Decision support systems and analytics;
- Data-driven optimization and machine learning in operations research;
- Applications of optimization in real-world problems;
- Multidisciplinary applications of optimization and operations research;
- Large scale optimization.
Prof. Dr. Igor Litvinchev
Prof. Dr. Tetyana Romanova
Prof. Dr. Socorro Rangel
Guest Editors
Manuscript Submission Information
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Keywords
- optimization
- operations research
- metaheuristics
- multi-objective optimization
- combinatorial optimization
- stochastic optimization
- heuristics
- supply chain management
- logistics
- robust optimization
- game theory
- evolutionary algorithms
- swarm intelligence
- finance
- economics
- engineering
- decision support systems
- data-driven optimization
- machine learning
- real-world applications
- multidisciplinary applications
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