- exchanging results and experiences in solving real-world combinatorial optimization problems,
- reporting on development and implementation of appropriate models and efficient solution methods for combinatorial optimization problems,
- establishing networking contacts between individuals and research groups working on related topics,
- promoting the work on combinatorial optimization (theory and applications) to the broader scientific community,
- identifying challenging research problems for the field, as well as promising research outlets (both in theory and applications),
- promoting interactions with researchers in other related fields.
Topics of interest
- exact and approximation algorithms for combinatorial optimization problems,
- heuristics and meta-heuristics,
- graph theory and networks,
- cutting and packing, routing, scheduling, location and capacity planning,
- integer programming, global optimization, stochastic integer programming,
- applications in logistics and supply chain management, manufacturing, energy production and distribution, telecommunications, and other fields.
- multiobjective programming
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