Aleksandar Kartelj

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I mainly do research in the field of optimization. This includes the design of exact and non-exact optimization techniques such as: integer (linear) programming models, branch & bound, beam search, variable neighborhood search, genetic algorithms, etc. Most of the developed techniques are used to solve difficult problems (usually NP-hard) in areas such as computational biology, transportation, logistics, social networks, etc. Some techniques are also used to improve machine learning algorithms.