Combinatorial Optimization and Its Real-World Applications
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E: Applied Mathematics".
Deadline for manuscript submissions: 30 April 2026 | Viewed by 21
Special Issue Editor
Interests: heuristic methods to solve combinatorial optimization problems; optimization models and methods in distributive logistics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Building on the success of our first edition, this Mathematics Special Issue will continue the exploration of cutting-edge advances in combinatorial optimization and its real-world applications across diverse fields—from logistics and healthcare to manufacturing and service industries.
As modern decision-making problems grow increasingly complex, often involving large-scale NP-hard challenges with vast numbers of variables and constraints, there is a pressing need for
- Innovative models (e.g., mixed-integer linear programming, Boolean formulations);
- Efficient heuristics that balance solution quality with reduced computation times;
- Energy-aware algorithms to minimize computational resources;
- Practical case studies demonstrating successful implementation.
We invite contributions that address such challenges, offering theoretical insights or applied solutions to advance the field. Topics of interest include, but are not limited to, the following:
- Optimization techniques for large models;
- Heuristic and metaheuristic design;
- Real-world applications with measurable impact.
Join us in shaping the next generation of combinatorial optimization tools. We look forward to receiving your submissions!
Prof. Dr. Anna Sciomachen
Guest Editor
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Keywords
- optimization
- mixed-integer linear programming
- large-size models
- Boolean problems
- heuristics
- metaheuristics
- energy-efficient algorithms
- case studies
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