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GENETIS
GENETIS
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Tue Feb 3 17:59:51 2026
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<table border="1" cellpadding="1" cellspacing="1" style="width:500px"> <tbody> <tr> <td>Name</td> <td>Progress</td> <td>Plans</td> </tr> <tr> <td>Alex M</td> <td> </td> <td> </td> </tr> <tr> <td>Alex P</td> <td> </td> <td> </td> </tr> <tr> <td>Ryan</td> <td>I have the testing loop finished with plotted results now. The program was able to reach optimal results very quickly. It used 100% tournament selection with a cutoff on the outer radius. The algorithm was using an asymmetric algorithm and the ideal bicone it was being compared to was an arbitrarily picked one from an actual symmetric run individual we knew to stay within the outer radius. All individuals for each generation are plotted on this graph. And the fact that these bicones started as asymmetric shows that we can very easily find symmetric answers if they are indeed ideal. </td> <td> </td> </tr> <tr> <td>Ben</td> <td> </td> <td> </td> </tr> <tr> <td>Ethan</td> <td>Tried to fix permission issues with AREA, as well as learned about running the loop and listening to Jorge's thoughts on our project.</td> <td>Possibly move the AREA project onto the project space as it may solve permissions issues. Alex is looking into it.</td> </tr> <tr> <td>Parker</td> <td> </td> <td> </td> </tr> <tr> <td>Elliot</td> <td> </td> <td> </td> </tr> <tr> <td>Leo</td> <td> </td> <td> </td> </tr> <tr> <td>Evelyn</td> <td> </td> <td> </td> </tr> </tbody> </table> <p> </p>
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