SOLVING DATA INTERACTION PROBLEMS IN INFORMATION SYSTEMS OF FREIGHT TRANSPORT LOGISTICS IN UZBEKISTAN
Keywords:
genetic algorithms, differential evolution, heterogeneous data, transport logistics, Uzbekistan.Abstract
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.
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