Optimal Design of Rotor Bearing System Using a Modified Genetic Algorithm Based onGame Theory

Crossover has an important effect on evolutionary processof genetic algorithm to achieve a global optimum pointwith a minimum iteration. In this paper, a new approachbased on game theory is proposed to improve theefficiency of crossover operator. In this method someinitial chromosomes are considered as players andaccording Nash equilibrium in game theory, generatesome new chromosomes. Moreover, the proposedalgorithm is used to optimize the difference between twocritical speeds of the rotor-bearing system through theformulation of a single objective optimization problem.Obtained results using modified GA algorithm have beenshown a great improvement in comparison withconventional GA algorithm.

کلیدواژه ها:

Crossover ، Genetic algorithm ، Game theory ، rotor-bearing system.