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GENETIS
GENETIS
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Tue Feb 3 12:13:50 2026
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<p> <table width="98%" align="center" cellspacing="1" style="border:1px solid #486090;"> <tbody> <tr> <td cellpadding="3px" style="background-color:#486090; font-weidht:bold; color:white;">Quote:</td></tr> <tr> <td cellpadding="10px" style="background-color:#FFFFB0;"><p>The following plots are ittereations if the test loop that add increasing improvements to the GA.</p> <p>The first plot shows the GA's behavoir unaltered from our previous runs (80% roulette, 20% tournament elite selection on).</p> <p>The second plots shows when we use 90% rank selection and 10% tournament, elite selection off.</p> <p>Plot 3 shows when we add an offset to restrict the values of the fitness function to be more within the range of the main loop.</p> <p>Plot 4 shows when we add a gaussean mutation function that is applied to crossover individuals (rate and gaussean width chosen by guess).</p> <p> </p> <p>The following are papers I have looked at while modifing the GA (not nessisaraly recently).</p> <p><strong><a href="https://pdfs.semanticscholar.org/5733/418cbf21dedc9e5c04351ded4a989f1ff67e.pdf">https://pdfs.semanticscholar.org/5733/418cbf21dedc9e5c04351ded4a989f1ff67e.pd</a></strong></p> <p dir="ltr"><strong><a href="https://www.sciencedirect.com/science/article/abs/pii/0165607493902157">https://www.sciencedirect.com/science/article/abs/pii/0165607493902157</a></strong></p> <p dir="ltr"><strong><a href="https://www.scientific.net/AMM.340.727">https://www.scientific.net/AMM.340.727</a> </strong></p> <p dir="ltr"><strong><a href="http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.28.1400&rep=rep1&type=pdf">http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.28.1400&rep=rep1&type=pdf</a></strong></p> <p dir="ltr"><strong><a href="https://arxiv.org/pdf/2010.04340.pdf">https://arxiv.org/pdf/2010.04340.pdf</a></strong></p> <p dir="ltr"><strong><a href="https://d1wqtxts1xzle7.cloudfront.net/30694440/10.1.1.34.9722.pdf?1361979690=&response-content-disposition=inline%3B+filename%3DUsing_genetic_algorithms_with_asexual_tr.pdf&Expires=1612908683&Signature=X93Gsc47AS0xqWf1SPLjG~7sNkoXSOXfnq1GpZ2QaPrYw9x9mWwASStW2IWexo7QBzbkhzcE5tZ~CmQA1MHN-paiNFIx2ed8VNS3IhesMnotKM0mSgUZ37BCleHT9BgGkUUum8mTJBAzCUaECn6RYjm1CZpfwVPC9zwuA~DnXBST4pGlQdna22D--sHwXgX~3U3gDUSxqk8mLI0gtn~Xued3XqsTGuMUKwJ2D9UpD5yp42-3IrH6d5CZREjEfXY2geTopQ-uNkr3eOriDj0UZqSrDw5mczmod3kQrQncgd~G2Kyda4RlIs8VDzQs~BGgszHJhSDAuKDrXr8P--9tVg__&Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA">https://d1wqtxts1xzle7.cloudfront.net/30694440/10.1.1.34.9722.pdf?1361979690=&response-content-disposition=inline%3B+filename%3DUsing_genetic_algorithms_with_asexual_tr.pdf&Expires=1612908683&Signature=X93Gsc47AS0xqWf1SPLjG~7sNkoXSOXfnq1GpZ2QaPrYw9x9mWwASStW2IWexo7QBzbkhzcE5tZ~CmQA1MHN-paiNFIx2ed8VNS3IhesMnotKM0mSgUZ37BCleHT9BgGkUUum8mTJBAzCUaECn6RYjm1CZpfwVPC9zwuA~DnXBST4pGlQdna22D--sHwXgX~3U3gDUSxqk8mLI0gtn~Xued3XqsTGuMUKwJ2D9UpD5yp42-3IrH6d5CZREjEfXY2geTopQ-uNkr3eOriDj0UZqSrDw5mczmod3kQrQncgd~G2Kyda4RlIs8VDzQs~BGgszHJhSDAuKDrXr8P--9tVg__&Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA</a></strong></p> <p dir="ltr"><strong><a href="http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.438.7389&rep=rep1&type=pdf">http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.438.7389&rep=rep1&type=pdf</a></strong></p> <p dir="ltr"><strong><a href="https://arxiv.org/pdf/2102.01211.pdf">https://arxiv.org/pdf/2102.01211.pdf</a></strong></p></td> </tr> </tbody> </table> </p><p> </p>
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