Yes, this is possible. However, if you are using the CST optimizer directly you can only sum your two goals or find the maximum of your goals. E.g. Goal A + (-Goal B) or max([Goal A, Goal B]). Another approach could be to set up your optimization in an external environment (e.g. in MATLAB) and call CST each time using candidate designs generated by MATLAB optimizers to obtain all the results and/or responses of interest each time. You can then derive your goals from the results and/or responses and evaluate the difference of your goals. Note that the ideal way could be to sum your goals to have a form of a single penalized objective function derived from the two goals. I hope this helps. Cheers!
Hello, Myself aradhya an undergraduate ECE in SRM University, we are working on a antenna design for couple of days but the s parameter is not getting below -10 db, we are unable to optimise it better. Could you please help us with the optimisation. We are even ready to pay for your invaluable help.
Is it possible to optimize the difference between two goals (i.e. set a goal that is equal to the difference between two goals)?
Yes, this is possible.
However, if you are using the CST optimizer directly you can only sum your two goals or find the maximum of your goals.
E.g. Goal A + (-Goal B) or max([Goal A, Goal B]).
Another approach could be to set up your optimization in an external environment (e.g. in MATLAB) and call CST each time using candidate designs generated by MATLAB optimizers to obtain all the results and/or responses of interest each time.
You can then derive your goals from the results and/or responses and evaluate the difference of your goals.
Note that the ideal way could be to sum your goals to have a form of a single penalized objective function derived from the two goals.
I hope this helps.
Cheers!
Hello, Myself aradhya an undergraduate ECE in SRM University, we are working on a antenna design for couple of days but the s parameter is not getting below -10 db, we are unable to optimise it better. Could you please help us with the optimisation. We are even ready to pay for your invaluable help.