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This paper presents an approach for combining approximation models with genetic algorithm-based design optimization procedures. An important objective here is to develop an approach which empirically ensures that the GA converges asymptotically to the optima of the original problem using a limited number of exact analysis. It is shown that this problem may(More)
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