SOLVING DATA INTERACTION PROBLEMS IN INFORMATION SYSTEMS OF FREIGHT TRANSPORT LOGISTICS IN UZBEKISTAN

The article examines the problems of integrating heterogeneous data in information systems of international road freight transportation in Uzbekistan. A comparative analysis of evolutionary route optimization algorithms is carried out, including genetic algorithms, differential evolution, ant colony optimization, and local search methods. A conceptual model for applying hybrid evolutionary algorithms to optimize logistics processes in the agro-industrial complex of the Samarkand region is proposed, taking into account the seasonality of perishable goods transportation.