Summary: In this paper was considered the task of optimization algorithms of individual training schedules to solve the problem of student time management. Investigated the optimal use of genetic algorithms for solving the problem of multi-criteria optimization schedule of the educational process.
Key Words: optimization algorithms, genetic algorithm, a schedule, a fitness function, simulated annealing, a greedy algorithm.