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In this thesis the algorithmic foundations of a particular sorting problem from railway optimization are studied. The addressed problem is called train classification, and it refers to the fundamental procedure of rearranging the cars of several trains into other compositions of different orders comprising new trains. The train classification methods applied today present rather conservative approaches, and there is a lot of room for systematic improvement by applying optimization methods.