How to integrate two optimizations into a single algorithm

Hello.i have two optimization problems.The first one is parameter estimation using experimental data.The second is MPPT that depends on the first solution.(Both CAN BE RUN WITH SAME TYPE OF ALGORITHM SUCH AS PSO/GWO/COA..) , my question is is it possible to run one algorithm that estimate and give the result to the second stage to MPPT and work continuasly (online) rtaher then using the traditional way as taking the estimated parameters for once and run the MPPT ?

[Torsten]

It usually needs many trials until you get your parameter estimation work. So I would recommend to separate these two stages.

[YASSER]

in fact, these parameters are variables under certain conditions so it is recommanded to update it continuesly and add it as inputs for the second optimization any ideas ?

[Torsten]

Then try it. What's the problem solving the two tasks successively in one script ?

[YASSER]

in non linear programming is there any approach like multi-objective optimization that gives best approachs aver others ? do reserchers use specific methods in suvh cases?

[Torsten]

As you described, you estimate parameters and these parameters are used in a second optimization step. So it seems both problems have their own objectives that can be minimized in two successive steps.

Multi-objective optimization could be necessary if the optimal solution of the second step in turn influences the optimal solution of the first step such that an iterative procedure would be necessary. But until now, you didn't mention such a feedback.

[YASSER]

There is no such a feedback. just successive optimization as you described. Thank you I think you answer is acceptable Best regards.