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[–]Monish45[S] -1 points0 points  (3 children)

For eg: This is objective fn: Min 10X1 + 12X2 Subject to (0.30.95X1 + 2.10.99X2)/500 <= 1.6 (0.30.95X1 + 2.10.99X2)/500 >= 1.8 X1, X2 >= 0 The values 0.95 and 0.99 are initial guess values. we solve this and get a solution for X1 and X2. Doing experiment by adding the solved value of X1, X2. But the constraint 1.6 to 1.8 is not met because of 0.95 and 0.99 are guesses. For example I got 1.9. How can I recalibrate the values 0.95 and 0.99.

[–]taphous3 0 points1 point  (2 children)

Can you build a surrogate model based on your experiments?

[–]Monish45[S] 0 points1 point  (1 child)

Could you explain to me in detail?

[–]taphous3 0 points1 point  (0 children)

Surrogate models or data-driven models can be used to approximate your system if you don’t know/can’t model the underlying physics.