Title :
A novel quantum genetic algorithm and its application
Author :
Sheng, Zhang ; Wanlu, Jiang
Author_Institution :
Hebei Provincial Key Lab. of Heavy Machinery Fluid Power Transm. & Control, Yanshan Univ., Qinhuangdao, China
Abstract :
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.
Keywords :
genetic algorithms; particle swarm optimisation; quantum computing; query processing; NQGA; PSO; QGA; fixed rotation angle; global search capability; load distribution optimization; novel quantum genetic algorithm; particle swarm optimization; quantum rotation gate; query table; tandem cold rolling; Convergence; Genetic algorithms; Logic gates; Optimization; Particle swarm optimization; Quantum computing; Schedules; load distribution; particle swarm optimization; quantum genetic algorithm; quantum rotation gate;
Conference_Titel :
Natural Computation (ICNC), 2012 Eighth International Conference on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4577-2130-4
DOI :
10.1109/ICNC.2012.6234602