A novel quantum genetic algorithm and its application
Zhang Sheng, Jiang Wanlu · 2012
Aiming at the disadvantages of the fixed rotation angle in quantum genetic algorithm (QGA), in this paper, the particle swarm optimization (PSO) was used to update the angle of quantum rotation gate in stead of the old one that locates the angle of quantum rotation gate by a designed query table. According to the experimental results, the novel quantum genetic algorithm (NQGA) with new updating method has got a higher global search capability than common QGA. The NQGA was used to the load distribution optimization of tandem cold rolling. The comparison data show that the NQGA is an effective method for load distribution optimization of tandem cold rolling.