Genetic Algorithms - Inspiration and Working!

Genetic algorithms are nature inspired optimization algorithms. It offers several advantages over traditional optimization schemes. The binary genetic algorithm is one of the oldest available genetic algorithms. It's well suited to solve discrete optimization problems efficiently. It especially excels in problems where the task is to find a global optima in a search space with multiple local optima. The use cases for genetic algorithms are ever-increasing. Currently genetic algorithms are being explored as alternatives to gradient descent in machine learning. The code and this video act as stepping stones to enter the world of bio inspired optimization.

Music:
Music by Vincent Rubinetti
Download the music on Bandcamp:
https://vincerubinetti.bandcamp.com/album/the-music-of-3blue1brown
Stream the music on Spotify:
https://open.spotify.com/album/1dVyjwS8FBqXhRunaG5W5u
code link:
https://github.com/krayzius-wolf/genetic-algorithm/blob/main/GA.m
source for further reading:
Practical Genetic Algorithms- Randy L. Haupt , Sue Ellen Haupt

Видео Genetic Algorithms - Inspiration and Working! канала The Urban Scholar