Abstract

Purpose of reseach. The search for the possibilities and limitations of using artificial intelligence (AI) to solve poorly formalized (creative) tasks in various fields. Evaluation of the effectiveness of AI application in comparison with traditional methods. Analysis of the use of artificial intelligence based on genetic algorithms to optimize processes and solve complex poorly formalized tasks using the example of school scheduling.Methods. Using a genetic algorithm (GA) to schedule by combining and varying data is similar to evolutionary selection in nature.Results. As a result of the conducted software modeling using GA, a variant of the schedule for a typical urban secondary school was obtained, taking into account all the norms of the "school" SanPiN and the wishes of teachers, characterized by ease of use and flexibility when adding new restrictions, as well as high speed on ordinary office computers.Conclusion. The relevance of using genetic algorithms for scheduling lies in the rapid automatic search for the optimal or acceptable solution in a large space of possible options, taking into account the established limitations and priorities, as well as flexibility and adaptability for various types of tasks.

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