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Main Topics

Main topics:

• theory of mathematical optimization

• integer programming and combinatorial optimization 

• global optimization, stochastic integer programming, multi-objective programming

• computational complexity of combinatorial optimization problems

• approximation algorithms and schemes  

• heuristics and metaheuristics for decision making and artificial intelligence

• game theory, mathematical economics, and multilevel programming

• optimization in machine learning and data analysis

• applications in operations research: scheduling, routing, facility location, packing and cutting, supply chain, etc.