I absolutely love genetic algorithms.
At university we evolved pilots for the classic moon lander game.
The genome was a collection of instructions like turn left, turn right, accelerate, decelerate.
Each generation you test all of them in the game then “breed” the most successful.
Eventually you end up with one that just manoeuvres perfectly onto the landing pad.
It’s just fascinating watching them gradually get better.
We also played around with NEAT which uses evolutionary algorithms to create neural networks by changing their structure and weights.
Just a really awesome topic.
humorlessrepost@lemmy.world 1 year ago
That’s kinda the whole idea.
It’s like saying “I wrote hello world. It Executed!”
Except “They Evolved” probably sounds like it was unexpected to someone who doesn’t understand the topic, making it great clickbait:
glimse@lemmy.world 1 year ago
I played Conway’s Game Of Life and - you’re not gonna believe this - the pixels moved around into new shapes