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Is there a recommended methodology that will aid in reducing fitting when running a CASB Template or a GGO run?

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Is there a recommended methodology that will aid in reducing fitting when running a CASB Template or a GGO run?

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A D&P run is not optimizing a single system a such but is discovering new systems (by varying switches). Since the stress testing feature works so well when optimizing a single system with GGO, CASB also allow one to do stress testing during the CASB D&P process. However, the stress testing is only done on the “real” parameters and no stress testing is done on the switches (which will result in a different system). In this way, the D&P run favours newly discovered systems which performs well during stress testing (varying) the real parameters of that specific system. The stress level and stress test increment% can be set on CASB4. VERY IMPORTANT: When selecting a stress test size>1, you should increase the number of Iterations accordingly! E.g. when no stress testing is selected (Stress test size=1), then optimize GASeed 1…10 and Iteration 1…2000 as usual When doing stress testing (Stress test size>1), Iteration should be optimized 1…MaxGen x PopSize x StressTestSize e.g. if stre

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