Journal of Siberian Federal University. Mathematics & Physics / Design and Analysis of Asymptotic Probabilistic Genetic Algorithm

Full text (.pdf)
Issue
Journal of Siberian Federal University. Mathematics & Physics. 2012 5 (1)
Authors
Galushin, Pavel V.; Semenkina, Olga E.
Contact information
Galushin, Pavel V. : e-mail: ; Semenkina, Olga E. : e-mail:
Keywords
genetic algorithm; mutation; selection; probability distribution
Abstract

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 vectors components. This paper also compares reliability and efficiency of basic algorithm and proposed modification using the set of test functions and dynamic scheduling problem.

Pages
46-56
Paper at repository of SibFU
https://elib.sfu-kras.ru/handle/2311/2622