Hybrid meta-model-based design space exploration method for expensive problems

Author:

Gan Nianfei,Gu JichaoORCID

Funder

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Control and Optimization,Computer Graphics and Computer-Aided Design,Computer Science Applications,Control and Systems Engineering,Software

Reference51 articles.

1. Acar E, Rais-Rohani M (2009) Ensemble of metamodels with optimized weight factors. Struct Multidiscip Optim 37(3):279–294

2. Adorio EP (2005) MVF - multivariate test functions library in C for unconstrained global optimization. www.geocities.ws/eadorio/mvf.pdf

3. Byrd RH, Schnabel RB, Shultz GA (1987) A trust region algorithm for nonlinearly constrained optimization. SIAM J Numer Anal 24(5):1152–1170

4. Cai Y, Zhang L, Gu J, Yue Y, Wang Y (2018) Multiple meta-models based design space differentiation method for expensive problems. Struct Multidiscip Optim 57(6):2249–2258

5. Celis M, Dennis J, Tapia R (1985) A trust region strategy for nonlinear equality constrained optimization. In: Boggs PT, Byrd RH, Schnabel RB (eds) Numerical optimization 1984. SIAM, Philadelphia, pp 71–82

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