| <table border="1" cellpadding="1" cellspacing="1" style="width:500px">
<tbody>
<tr>
<td>Name</td>
<td>Update</td>
<td>Plans for Tomorrow</td>
</tr>
<tr>
<td>Alex M</td>
<td>
<p>Continued running the loop up to gen 15. I also adjusted the LRTPlot script so that it can slightly spread the points along the generation axis so that you can see overlapping points, but I still need to implement this in the loop. </p>
<p>Helped Ryan design the bash script for running through paperclip many times. It's working and he ran it for a while to get ~1000 outputs checking the performance of different mutation sizes. Next he'll parse through them to find what sigma appears best.</p>
</td>
<td>Amy suggested that I make it possible for the roulette algorithm to record the mutations and parents for each individual so that we can get a better sense of the history of the evolution, so I'll work on that tomorrow. If it looks to be working, I'll start a run with an asymmetric length.</td>
</tr>
<tr>
<td>Alex P</td>
<td> </td>
<td> </td>
</tr>
<tr>
<td>Eliot</td>
<td> </td>
<td> </td>
</tr>
<tr>
<td>Leo</td>
<td> </td>
<td> </td>
</tr>
<tr>
<td>Evelyn</td>
<td> </td>
<td> </td>
</tr>
<tr>
<td>Ryan</td>
<td>Completed bash script for automating runs and generated 1100 txt and csv (each) files of runs to be able to see how the ratio of roulette to tournament and standard deviation in the mutation function affect the fitness scores after 100 generations. </td>
<td>Work on writing a program to go through the txt files and collect the information of the highest fitness score, stored in line 6 of each one, and figure out which combination of parameters gives the highest average.</td>
</tr>
<tr>
<td>Ben</td>
<td> </td>
<td> </td>
</tr>
<tr>
<td>Ethan</td>
<td> </td>
<td> </td>
</tr>
</tbody>
</table>
<p> </p> |