ref [23] · 2608.04708 · notice #9071 · dispute
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Keane, Multi-fidelity optimization via surrogate modelling, Proceedings of the Royal Society A: Mathemat- ical, Physical and Engineering Sciences 463 (2088) (2007) 3251-3269. doi:10.1098/rspa.2007.1900. URLhttp://dx.doi.org/10.1098/rspa.2007.1900 [23] P. S. Palar, T. Tsuchiya, G. T. Parks, Multi-fidelity non-intrusive polynomial chaos based on regression, Computer Methods in Applied Mechanics and Engineering 305 (2016) 579-606. doi:10.1016/j.cma.2016.03.022. URLhttp://dx.doi.org/10.1016/j.cma.2016.03.022 [24] S. Koziel, A. Bekasiewicz, I. Couckuyt, T. Dhaene, Efficient multi-objective simulation-driven antenna design using co-kriging, IEEE Trans- actions on Antennas and Propagation 62 (11) (2014) 5900-5905. doi:10.1109/tap.2014.2354673. URLhttp://dx.doi.org/10.1109/TAP.2014.2354673 [25] X. Liu, W. Zhao, D.
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Keane, Multi-fidelity optimization via surrogate modelling, Proceedings of the Royal Society A: Mathemat- ical, Physical and Engineering Sciences 463 (2088) (2007) 3251-3269. doi:10.1098/rspa.2007.1900. URLhttp://dx.doi.org/10.1098/rspa.2007.1900 [23] P. S. Palar, T. Tsuchiya, G. T. Parks, Multi-fidelity non-intrusive polynomial chaos based on regression, Computer Methods in Applied Mechanics and Engineering 305 (2016) 579-606. doi:10.1016/j.cma.2016.03.022. URLhttp://dx.doi.org/10.1016/j.cma.2016.03.022 [24] S. Koziel, A. Bekasiewicz, I. Couckuyt, T. Dhaene, Efficient multi-objective simulation-driven antenna design using co-kriging, IEEE Trans- actions on Antennas and Propagation 62 (11) (2014) 5900-5905. doi:10.1109/tap.2014.2354673. URLhttp://dx.doi.org/10.1109/TAP.2014.2354673 [25] X. Liu, W. Zhao, D