Design and analysis of asymptotic probabilistic genetic algorithm

This paper proposes the modification of probabilistic genetic algorithm, which uses genetic operators, effecting not on particular solutions, but on the probabilities distribution of solution vector's components. This paper also compares reliability and efficiency of basic algorithm and proposed modification using the set of test functions and dynamic scheduling problem.