Asymptotic probabilistic genetic algorithm

This paper proposes the modification of probabilistic genetic algorithm, which uses genetic operators, influencing not particular solutions, but the probabilities distribution of solution vector components. This paper also compares reliability and efficiency of the basic algorithm and proposed modification using the set of test functions and the bank credit portfolio formation problem.