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frankderuyck
Level VII

Problem to find optimal settings for a mixture with Bayesian Optimisation

With a 24 run mixture DOE I could find very good models and optimal settings for a ternary mixture and one categorical effect, this was presented in foregoing discussion; find in attachment again the analysis and below screenshots of the desirability results. 

frankderuyck_0-1788534496337.png

With Isomer 2 desirability result is worse; below the settings when locking Isomer 2

frankderuyck_1-1788534633931.png

Starting with a 9 run candidate space filling set (see attachment Succesful 9 run) set or a 12 run Kowalski set the optimal settings with Isomer 1 can be detected. 

However starting from a 6 run space filling candidate set I always get the poorer optimal settings with Isomer 2, even after several added space filling runs! What did I do wrong and how to get from this 6 run candidate the optimal Isomer 1 settings? 

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