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
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;
Conference_Titel :
Chaos-Fractals Theories and Applications, 2009. IWCFTA '09. International Workshop on
Conference_Location :
Shenyang
Print_ISBN :
978-0-7695-3853-2
DOI :
10.1109/IWCFTA.2009.30
