ELOG GENETIS

Updates and Results Talks and Posters Advice Ideas Important Figures Write-Ups Outreach How-To Funding Opportunities GENETIS

GENETIS

Fields marked with * are required
Entry time:	Mon Mar 6 23:25:12 2023
Author*:
Subject*:
<p>The following is a run summary of the AREA test without the linear frequency dependence on the gain, with the frequency fixed (i.e. the same gain pattern is produced for all frequencies). This run was a preliminary test of the AREA algorithm after fixing long-standing errors in the algorithm and finding that the initial constaints implemented did not work with the frequency dependence on gain. Results from this run did show a "proof-of-concept" that the AREA algorithm seems to evolve single frequencies in a promising way, however a low number of individuals may have stalled the evolution.</p> <h3>Run details:</h3> <ul> <li>Run Type <ul> <li>AREA</li> </ul> </li> <li>Run Date <ul> <li>December 26, 2022</li> </ul> </li> <li>Run Name <ul> <li>20221226breynoldsrun_noLinearDependAREATest_8RCO_8RM_2TCO_2TM_30000NNU_10Seeds</li> </ul> </li> <li>Why are we doing this run? <ul> <li>We tested the AREA algorithm set to evolve at a single frequency in order to see if it would evolve a gain pattern at that frequency within the required constraints.</li> </ul> </li> <li>What is different about this run from the last? <ul> <li>This run only evolves gain patterns at a single frequency, allowing us to investigate the evolved gain patterns and check that the required constraints on the power conservation are met, without yet fixing the constraints function to work with the linear frequency dependence relationship. This is also the longest test run since the AREA algorithm was fixed and gotten into working order.</li> </ul> </li> <li>Symmetric, asymmetric, linear, nonlinear (what order): <ul> <li>N/A</li> </ul> </li> <li>Number of individuals (NPOP): <ul> <li>20</li> </ul> </li> <li>Number of neutrinos thrown in AraSim (NNT): <ul> <li>300,000 Total (30,000 NNU x 10 Seeds)</li> </ul> </li> <li>Operatiors used (% of each): <ul> <li>50% Cross-Over, 50% Mutation</li> </ul> </li> <li>Selection methods used (% of each): <ul> <li>80% Roullette, 20% Tournament</li> </ul> </li> <li>Are we using the database? <ul> <li>N/A</li> </ul> </li> </ul> <p><!--StartFragment--></p> <h3>Results:</h3> <ul> <li>Summary and comments on results <ul> <li>The evolution appeared to be successful in that the most fit gain pattern found (attached) seems to make sense with our understanding of the underlying physics. Additionally, after inspecting the outputs, conservation of power was confirmed to be properly constrained. However, in the attached violin plot, the fitness score plateaued quickly and never evolved further, with the best individual coming in generation 12. This was speculated to be due to the small population used in this test (only 20 total individuals per generation).</li> </ul> </li> </ul> Encoding: HTML ELCode plain Suppress Email notification Resubmit as new entry

Attachment 1:	20230109_singleFreqTest_fitnessPlot_update30Gens.PNG
Attachment 2:	20221229_singleFreqTest_overallBestIndiv_gen12Indiv17.PNG
Attachment 3:
Drop attachments here...

ELOG V3.1.5-fc6679b