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313 - Using genetic algorithms to simulate ​evolution

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DigitalSreeni

Genetic algorithms simulate evolution and natural selection to produce adaptive traits.​

Camouflage is a common adaptation that helps animals blend into their environment and avoid predators.​

Insects can be represented as a string of genes that code for specific visual features such as color, shape, and texture.​

A fitness score is used to evaluate an individual's ability to blend in with their environment.​

Individuals with higher fitness scores are selected for reproduction, passing on their genes to the next generation.​

Over time, the population evolves and becomes better adapted to their environment, producing offspring that are increasingly difficult to detect by predators.​

Code generated in the video can be downloaded from here:
https://github.com/bnsreenu/python_fo...

posted by diafan6n