DocumentCode
2792797
Title
Application of Chaos Genetic Algorithm to Transformer Optimal Design
Author
Zhang, Shuang ; Hu, Qinghe ; Wang, Xingwei ; Zhu, Zhiliang
Author_Institution
Software Coll., Northeastern Univ., Shenyang, China
fYear
2009
fDate
6-8 Nov. 2009
Firstpage
108
Lastpage
111
Abstract
Optimal design of power transformer is discrete, multi-variable, nonlinear, multi-purposed, and mixed programmed. According to the characteristics of transformer optimal design, the paper combines genetic algorithm with chaos to get a new mixed generic algorithm. It is adopted to transformer electromagnetic calculation optimization, proving its good performance. This research is meaningful for the popularization and application of genetic algorithm to transformer optimal design.
Keywords
chaos; genetic algorithms; power transformers; chaos genetic algorithm; power transformer; transformer electromagnetic calculation optimization; transformer optimal design; Algorithm design and analysis; Ant colony optimization; Application software; Chaos; Cost function; Educational institutions; Genetic algorithms; Power transformer insulation; Power transformers; Production; calculation optimization; chaos; genetic algorithm; optimal design; transformer;
fLanguage
English
Publisher
ieee
Conference_Titel
Chaos-Fractals Theories and Applications, 2009. IWCFTA '09. International Workshop on
Conference_Location
Shenyang
Print_ISBN
978-0-7695-3853-2
Type
conf
DOI
10.1109/IWCFTA.2009.30
Filename
5361892
Link To Document