I am unable to put the values which I got in global table after experimenter. The array is created. But the values are not getting printed in the final output. Is there a problem in my end of replication code? Or I am missing something?
Attaching the file along with this.
After working on it for sometime, I got how to get global table values during an experimenter. Still need to do some post processing after you get the data. But this might be a good start on how to get global table values in an experimenter. @abhishek.k @joerg.vogel
I inserted a break point into your EndofRun code and it appears that the array is created, but it is not getting filled. My guess is that it's because the length of your array is set as the number of rows in the "Final" table, which is 1. So, your loop only runs once to fill the array. This is shown in my screenshot below. I hope this makes sense. Maybe you can take a look at this and see if it's correct.
My suggestion is to add breakpoints like this and make sure your code is working how you expect line by line. Let me know if you have any questions about how to use breakpoints.
Hi @tanner.p. Thanks for your reply. I am unable to figure out why x is 1. If you run the simulation normally, you could see the final table getting populated. But within the replications it’s not recognizing that final table is filled. Or even the table is not getting populated.
what am I missing ?
A scenario of an experiment is a copy of your model which runs completely independent from any other scenario. A global table is a part of this copied model and there is not a master mind which is collecting from within a copied model structure all results which you can take to manipulate while all scenarios are still running. Each scenario is completely encapsulated. The rows of a global within a scenario are filled by each single copy only once. Only the experimenter tool has a structure to collect results. Any optimization while an experiment is running is prohibited. All you can do is running several experiments in sequential order with sets of optimized values in the scenarios.
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