313 - Using genetic algorithms to simulate evolution

Pubblicato il: 07 febbraio 2024
sul canale di: DigitalSreeni

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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...

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