Abstract
Recently, the use of surrogate models for robustness assessment has become popular in various research fields. In this paper, we investigate whether it is advantageous to use the sample data to build a model instead of computing the robustness measures directly. The results suggest that if the quality of the surrogate model cannot be guaranteed, their use can be harmful to the optimization process.
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Acknowledgements
Frederico G. Guimarães would like to thank the Minas Gerais State Agency for Research and Development (FAPEMIG).
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Silva, R.C.P., Li, M., Ghorbanian, V., Guimarães, F.G., Lowther, D.A. (2018). Robust Design with Surrogate-Assisted Evolutionary Algorithm: Does It Work?. In: Korošec, P., Melab, N., Talbi, EG. (eds) Bioinspired Optimization Methods and Their Applications. BIOMA 2018. Lecture Notes in Computer Science(), vol 10835. Springer, Cham. https://doi.org/10.1007/978-3-319-91641-5_25
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DOI: https://doi.org/10.1007/978-3-319-91641-5_25
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