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A Robust and Computationally Efficient Optimal Design Algorithm of Electromagnetic Devices Using Adaptive Response Surface Method
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 Title & Authors
A Robust and Computationally Efficient Optimal Design Algorithm of Electromagnetic Devices Using Adaptive Response Surface Method
Zhang, Yanli; Yoon, Hee-Sung; Shin, Pan-Seok; Koh, Chang-Seop;
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 Abstract
This paper presents a robust and computationally efficient optimal design algorithm for electromagnetic devices by combining an adaptive response surface approximation of the objective function and() evolution strategy. In the adaptive response surface approximation, the design space is successively reduced with the iteration, and Pareto-optimal sampling points are generated by using Latin hypercube design with the Max Distance and Min Distance criteria. The proposed algorithm is applied to an analytic example and TEAM problem 22, and its robustness and computational efficiency are investigated.
 Keywords
Adaptive Response Surface Method;Latin Hypercube Design;Optimal Design;Pareto Optimization;
 Language
English
 Cited by
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A Robust Global Optimization Algorithm of Electromagnetic Devices Utilizing Gradient Index and Multi-Objective Optimization Method, IEEE Transactions on Magnetics, 2011, 47, 5, 1254  crossref(new windwow)
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An Optimal Design of Large Scale Permanent Magnet Pole Shape Using Adaptive Response Surface Method With Latin Hypercube Sampling Strategy, IEEE Transactions on Magnetics, 2009, 45, 3, 1214  crossref(new windwow)
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A Global Optimization Algorithm for Electromagnetic Devices by Combining Adaptive Taylor Kriging and Particle Swarm Optimization, IEEE Transactions on Magnetics, 2013, 49, 5, 2061  crossref(new windwow)
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