Application of Intelligent Algorithm to Transformer Optimal Design
2011 ◽
Vol 219-220
◽
pp. 1578-1583
Keyword(s):
The paper studies transformer optimal design, establishes optimal transformer model based on total owning cost. It adopts penalty function to process objective function with weighted coefficients. For prematurity and low speed of convergence of Simple Genetic Algorithm, improved adaptive genetic algorithm is adopted. It increases crossover and mutation rates, and improves fitness function. It is adopted to search for minimum total owning cost of transformer. The result shows that the algorithm performs well, increases converging speed and betters solution.
2010 ◽
Vol 46
(07)
◽
pp. 74
◽
2011 ◽
Vol 268-270
◽
pp. 1138-1143
Keyword(s):
2010 ◽
Vol 35
(7)
◽
pp. 2840-2846
◽
2014 ◽
Vol 538
◽
pp. 193-197
Keyword(s):
2013 ◽
Vol 753-755
◽
pp. 2925-2929
2017 ◽
Vol 266
◽
pp. 1-8
◽
2014 ◽
Vol 540
◽
pp. 456-459