DocumentCode :
2180276
Title :
Optimum design of electromagnetic solenoid by using Artificial Bee Colony (ABC) algorithm
Author :
Kitagawa, Wataru ; Takeshita, Takaharu
Author_Institution :
Grad. Sch. of Eng., Nagoya Inst. of Technol., Nagoya, Japan
fYear :
2012
fDate :
2-5 Sept. 2012
Firstpage :
1393
Lastpage :
1398
Abstract :
Recently, as electrical machinery design is some techniques of using electromagnetic numerical analysis with optimization methods. Usually, meta-heuristics is used in order for calculating the global optimal solution (strict solution) to have forced. A typical thing has the GA and IA which are classified into the evolutionistic calculation technique. Moreover, as swarm intelligence algorithm, PSO and the ACO and so on. In this paper, the performance was compared and verified the Artificial Bee Colony algorithm (ABC) of the multi-point search algorithm which obtained the idea to action of the honeybee.
Keywords :
ant colony optimisation; electric machines; numerical analysis; particle swarm optimisation; solenoids; ABC algorithm; ACO; GA; IA; PSO; ant colony optimization; artificial bee colony algorithm; electrical machinery design; electromagnetic numerical analysis; electromagnetic solenoid optimum design; evolutionistic calculation technique; genetic algorithm; honeybee; immune algorithm; meta-heuristics; multipoint search algorithm; optimization methods; particle swarm optimization; swarm intelligence algorithm; Algorithm design and analysis; Classification algorithms; Coils; Electromagnetics; Solenoids; Stators; Stress; Artificial Bee Colony (ABC) Algorithm; Electrical Machinery; Finite Element Method; Optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Machines (ICEM), 2012 XXth International Conference on
Conference_Location :
Marseille
Print_ISBN :
978-1-4673-0143-5
Electronic_ISBN :
978-1-4673-0141-1
Type :
conf
DOI :
10.1109/ICElMach.2012.6350060
Filename :
6350060
Link To Document :
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