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GENETIS
GENETIS
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Tue Feb 3 18:01:23 2026
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<p>This run was started on February 2, 2022. It is a full run of 50 generations with 50 individuals per generation using the quadratic version of the loop. This means that each individual is defined by 8 genes (length, inner radius, linear coefficient, and quadratic coefficient for each cone). Attached is the txt file run_details.txt that is automatically generated when the loop is run. Each individual was run for 300,000 neutrinos.</p> <p>This run used the usual ratio of generative operators: 72% crossover, 22% immigration, and 6% reproduction. It also used the proper mutation function: <s>1% of genes created through crossover were mutated by adding a number chosen from a Gaussian distribution centered at 0 with a width of 5% of the gene's value</s> (MUTATION WAS NOT USED BUT WAS AVAILABLE).</p> <p>This run was the first full run in which the rank selection operator was used. The ratio of selection operators was: 0% roulette, 10% tournament, 90% rank, 0% elite. </p> <p>This run used the script fitness_check.py to average the scores of identical individuals that appeared across multiple generations. This gives us a more accurate measure of those individuals' scores. It may also explain why this run appears so flat (on the violin plot): fluctuations in the scores should die down as repeated individuals have more accurate scores, and newly generated individuals that perform highly regress to their mean (actual) score when they are reproduced/recreated through crossover. This has led us to question our GA parameters, as Audrey and Autumn demonstrated that roughly 1/4 individuals in the run are repeat individuals.</p>
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