TY - GEN
T1 - Calculation and analysis of electromagnetic in an induction motor based on continuous quantum ant colony optimization
AU - Weili, Li
AU - Qiaoyu, Yin
AU - Xiaochen, Zhang
PY - 2010
Y1 - 2010
N2 - A new kind of quantum ant colony algorithm for continuous space optimization is proposed in this paper, by the introduction of quantum computation into ant colony optimization. Each ant carries a group of quantum bits representing the current location of ant, and quantum bits are updated by quantum rotation gates to make the location of ants changed, some quantum bits are mutated by quantum non-gates to increase the population diversity in this algorithm. The convergence of proposed algorithm is proved theoretically. The numerical simulation results show that the new algorithm has better global search capability and faster convergence rate than classical ant colony optimization. Furthermore, the new algorithm is applied to the optimal design of an induction motor successfully, and optimization results are obtained. An effective design method for induction motor has been suggested based on continuous quantum ant colony optimization.
AB - A new kind of quantum ant colony algorithm for continuous space optimization is proposed in this paper, by the introduction of quantum computation into ant colony optimization. Each ant carries a group of quantum bits representing the current location of ant, and quantum bits are updated by quantum rotation gates to make the location of ants changed, some quantum bits are mutated by quantum non-gates to increase the population diversity in this algorithm. The convergence of proposed algorithm is proved theoretically. The numerical simulation results show that the new algorithm has better global search capability and faster convergence rate than classical ant colony optimization. Furthermore, the new algorithm is applied to the optimal design of an induction motor successfully, and optimization results are obtained. An effective design method for induction motor has been suggested based on continuous quantum ant colony optimization.
UR - http://www.scopus.com/inward/record.url?scp=77954773432&partnerID=8YFLogxK
U2 - 10.1109/CEFC.2010.5481292
DO - 10.1109/CEFC.2010.5481292
M3 - Conference contribution
AN - SCOPUS:77954773432
SN - 9781424470594
T3 - Digests of the 2010 14th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2010
BT - Digests of the 2010 14th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2010
T2 - 14th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC2010
Y2 - 9 May 2010 through 12 May 2010
ER -