Abstract: A dynamic model of bladeddisk system was established with mistuning parameters obtained by the modal experiment， and a new sorting method was proposed. The crossover operator， mutation operator and genetic selection of the genetic algorithm were introduced into the standard particle swarm algorithm and the penalty function was taken to balance the application requirements of the mistuning and vibration reduction. In this way the excellent characteristic of faster convergence of the particle swarm algorithm was retained， the particle swarm global optimizing ability was improved， and the ranking result accuracy was higher than that of other optimization algorithms. The results showed that appropriate blade arrangement sequence could effectively reduce the vibration localization of the bladeddisk system， and the proposed discrete genetic particle swarm algorithm could make vibration amplitude smaller or within the acceptable range of the bladeddisk system.

Key words: mistuned blade, blade arrangement, vibration absorption, DPSO algorithm, penalty function method