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