Application of Intelligent Algorithm to Transformer Optimal Design

Abstract:

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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.

Info:

Periodical:

Advanced Materials Research (Volumes 219-220)

Edited by:

Helen Zhang, Gang Shen and David Jin

Pages:

1578-1583

DOI:

10.4028/www.scientific.net/AMR.219-220.1578

Citation:

S. Zhang et al., "Application of Intelligent Algorithm to Transformer Optimal Design", Advanced Materials Research, Vols. 219-220, pp. 1578-1583, 2011

Online since:

March 2011

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Price:

$35.00

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