Paper Title:
Application of Intelligent Algorithm to Transformer Optimal Design
  Abstract

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, Q. H. Hu, X. W. Wang, "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
$32.00
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