| Alex M |
Worked with Alex P on looking for the problem in AraSim. We looked in Report.cc where Amy suggested there was an inequality involving a variable called "Full_window" being compared to the trigger threshold. We followed this down to another function in Report.cc where Full_window is used and compared fdiode_real between individuals, which was identical. We then tried printing V_Total_forconvlv, which was different between indviduals, yielding either all 0s or -nans in the individual with 0 effective volume.
Helped Ryan some more with working on the roulette algorithm in paperclip. We're going to take it step by step and start with getting a hang of the code with print statements and modifications to see how things work and adding in a function for the roulette algorithm that will simply select the individuals. Once we have that working, we can move onto the next step of properly implementing the roulette algorithm in the code in a manner similar to what we have in the bicone algorithm.
I made some small edits in the paper, mostly just pulling some citations from the proceeding but I also think I fixed the format of the references so that the numbers look nicer.
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Alex P and I will continue looking in AraSim for the cause of the error. I'll also take some more time to contnue making edits to the paper. |
| Alex P |
Made a generation with an indiviudal we know got a zero fitness score and reduced the grid spacing to see if it would have any affect, it might stay zero as we've done this on a generation before and it lowered all the results so the outliers might not be the zeroes but instead the normal scores with the small antenna. Talked with Amy about looking for errors and started testing what gets passed into the myconvlv function and found that the fdiodes are equal between individuals but the V_Total_forconvlv array was different, and the indiviudal that had zero had a lot more "nans" than the one the had a real score. |
Continue investigating the source of where the changes in AraSim that allow for the zero fitness scores come from, marking off one variable at a time to find what makes the difference at each step |