DocumentCode :
1698748
Title :
Adaptive population disappearance genetic algorithm for electromagnetic devices optimization
Author :
Chen, Tanggong ; Wang, Youhua ; Pang, Lingling ; Lu, Dianli ; Hou, Shuping
Author_Institution :
Key Lab. of Electromagn. Field & Electr. Apparatus Reliability, Hebei Univ. of Technol., Tianjin
fYear :
2008
Firstpage :
1
Lastpage :
4
Abstract :
In this paper, an adaptive population disappearance genetic algorithm called APDGA is presented. APDGA enlightened by the phenomenon of mutation and disaster in the biology evolutionary process can improve the population distribution, restrain premature convergence and enhance the ability of whole convergence. This method is applied to electromagnetic device optimization successfully. Simulation shows that the performance of this algorithm is better than that of genetic algorithm. It is a potential optimization algorithm.
Keywords :
electromagnetic devices; genetic algorithms; adaptive population disappearance; biology evolutionary process; electromagnetic devices; genetic algorithm; optimization; Adaptive control; Algorithm design and analysis; Convergence; Electromagnetic devices; Electromagnetic fields; Evolution (biology); Genetic algorithms; Genetic mutations; Programmable control; Reliability theory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automation Congress, 2008. WAC 2008. World
Conference_Location :
Hawaii, HI
Print_ISBN :
978-1-889335-38-4
Electronic_ISBN :
978-1-889335-37-7
Type :
conf
Filename :
4699138
Link To Document :
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