DocumentCode :
2606997
Title :
Calculation and analysis of electromagnetic in an induction motor based on continuous quantum ant colony optimization
Author :
Weili, Li ; Qiaoyu, Yin ; Zhang Xiaochen
Author_Institution :
Harbin Univ. of Sci. & Technol., Harbin, China
fYear :
2010
fDate :
9-12 May 2010
Firstpage :
1
Lastpage :
1
Abstract :
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.
Keywords :
convergence of numerical methods; induction motors; optimisation; quantum gates; continuous space optimization; convergence; electromagnetic analysis calculation; induction motor; numerical simulation; quantum ant colony algorithm; quantum rotation gates; Algorithm design and analysis; Ant colony optimization; Convergence of numerical methods; Design methodology; Design optimization; Electromagnetic analysis; Electromagnetic induction; Induction motors; Numerical simulation; Quantum computing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electromagnetic Field Computation (CEFC), 2010 14th Biennial IEEE Conference on
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4244-7059-4
Type :
conf
DOI :
10.1109/CEFC.2010.5481292
Filename :
5481292
Link To Document :
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