File:Darwin image evolution from random patches.gif WikiZero

Summary

Description	English: This image shows the highest fitness individual in each generation from an evolving population of images. Each frame in the animation is a generation. Every individual image is initially made up of a random collection of patches. The genome for an individual is the greyscale color (0-255) of all the patches in an image. The image population evolves according to: Evaluate individual fitness. Fitness is the sum of the squares of the difference in greyscale value between each pixel with that of the target image Rank the population according to fitness. Mix in some genes (patch color) from next higher fitness individual (for each individual below the fittest). Repeat The target image is from https://en.wikipedia.org/wiki/File:Charles_Darwin_by_Julia_Margaret_Cameron,_c._1868.jpg This is an example of Darwinian evolution. The program (written in rust) does not use random mutations or jumping genes and therefore any gene in the final image must have existed somewhere in the initial population in that position.
Date	25 February 2024
Source	Own work
Author	NeedsGlasses

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