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http://dx.doi.org/10.5370/KIEE.2013.62.2.177

Shape Optimization of High Voltage Gas Circuit Breaker Using Kriging-Based Model And Genetic Algorithm  

Kwak, Chang-Seob (Korea Electrotechnology Research Institute)
Kim, Hong-Kyu (Korea Electrotechnology Research Institute)
Cha, Jeong-Won (Dept. of Computer Engineering, Chang-won National University)
Publication Information
The Transactions of The Korean Institute of Electrical Engineers / v.62, no.2, 2013 , pp. 177-183 More about this Journal
Abstract
We describe a new method for selecting design variables for shape optimization of high-voltage gas circuit breaker using a Kriging meta-model and a genetic algorithm. Firstly we sample balance design variables using the Latin Hypercube Sampling. Secondly, we build meta-model using the Kriging. Thirdly, we search the optimal design variables using a genetic algorithm. To obtain the more exact design variable, we adopt the boundary shifting method. With the proposed optimization frame, we can get the improved interruption design and reduce the design time by 80%. We applied the proposed method to the optimization of multivariate optimization problems as well as shape optimization of a high - voltage gas circuit breaker.
Keywords
Latin hypercube sampling; Kriging; Genetic algorithm; Boundary shifting; Gas circuit breaker; Optimal design;
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Times Cited By KSCI : 2  (Citation Analysis)
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