The following plots are ittereations if the test loop that add increasing improvements to the GA.

The first plot shows the GA's behavoir unaltered from our previous runs (80% roulette, 20% tournament elite selection on).

The second plots shows when we use 90% rank selection and 10% tournament, elite selection off.

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.

Plot 4 shows when we add a gaussean mutation function that is applied to crossover individuals (rate and gaussean width chosen by guess).

The following are papers I have looked at while modifing the GA (not nessisaraly recently).

https://pdfs.semanticscholar.org/5733/418cbf21dedc9e5c04351ded4a989f1ff67e.pd

https://www.sciencedirect.com/science/article/abs/pii/0165607493902157

https://www.scientific.net/AMM.340.727 

http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.28.1400&rep=rep1&type=pdf

https://arxiv.org/pdf/2010.04340.pdf

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

http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.438.7389&rep=rep1&type=pdf

https://arxiv.org/pdf/2102.01211.pdf