Jin R, Chen W, Simpson T W (2001) Comparative Studies of Metamodeling Techniques under Multiple Modeling Criteria. Structural and Multidisciplinary Optimization, Vol. 23, No. 1, pp. 1-13 Home/Search Document Details and Download
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....) b) y i i (23) y i ( w x i ) b) i ; i 0; i = 1; l: 25) Thus, quadratic programming techniques can be applied to solve the minimization problem. 5. 5 Comparative Remarks There are several papers that compare the performance of di erent approximation models [13, 14, 28, 78, 77, 34]. However, no clear conclusions on the advantages and disadvantages of the di erent approximation models have been drawn. This is reasonable not only because the performance may depend on the problem to be addressed, but also because more than one criterion needs to be considered. The most ....
....the model complexity to avoid over tting. It may also be necessary to try other more e cient training methods [67] if the gradient descent based method is found to be of slow convergence. Besides, RBF networks have found to be of good accuracy as well as of fast training in some studies [77, 34]. 6 Data Sampling Techniques If an approximate model is used for evolutionary computation, both o line and on line training will be involved if the evolution is controlled. O line learning denotes the training process before the model is used in evolutionary computation. In contract, on line ....
R. Jin, W. Chen, and T.W. Simpson. Comparative studies of metamodeling techniques under miltiple modeling criteria. Technical Report 2000-4801, AIAA, 2000.
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Jin R, Chen W, Simpson T W (2001) Comparative Studies of Metamodeling Techniques under Multiple Modeling Criteria. Structural and Multidisciplinary Optimization, Vol. 23, No. 1, pp. 1-13
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R. Jin, W. Chen, and T. W. Simpson, "Comparative Studies of Metamodeling Techniques under Multiple Modeling Criteria," Structural and Multidisciplinary Optimization, Vol. 23, No. 1, pp. 1-13, 2001.
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R. Jin, W. Chen and T. W. Simpson, 2001, "Comparative Studies of Metamodeling Techniques under Multiple Modeling Criteria", Journal of Structural Optimization, Vol. 23, No. 1, pp. 1--13.
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- Jin, R.; Chen, W.; Simpson, T. W., 2000: Comparative Studies of Metamodeling Techniques under Multiple Modeling Criteria. Proceedings of the 8th AIAA/USAF/NASA/ISSMO Multidisciplinary Analysis & Optimization Symposium, AIAA 2000-4801, Long Beach, CA, 6-8 Sept.
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