Robust optimization of a 2D air conditioning duct using kriging

Water vapor advection and the subsequent formation of clouds quite differ when we compare these brand new high resolution simulations and the usual lower resolution ones at 64 per

We have implemented an automatic transformation from SystemC into the input language of BLAST, and thus we can verify SystemC designs using the BLAST model checker fully

strategies are iterative and based on two steps: a NSGA-II algorithm performed on kriging response surfaces or kriging expected improvements and relevant enrichment methods composed

To solve the robust optimization problem, one way is to introduce a multi-objective optimization formulation where the first objective is the function itself and the second is

This work is based on an extension of the continuous mesh framework and multi-scale mesh adaptation [10] where the optimal metric is derived through a calculus of variation.. Based

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This behavior agrees with the study presented in [8] where noise behavior was investigated in relation regarding to the excitation parameters (I dc and I ac ) for an

Other examples of proton fl uence models include the ESP and PSYCHIC mod- els (Xapsos et al., 1999a, 1999b, 2000, 2004, 2007), which used the maximum entropy principle to obtain