Selection (genetic algorithm)

A genetic algorithm is a way to solve problems, like the best way to make something or the best answer to a problem. To do this, it uses ideas from nature, like evolution, to try different solutions and see which ones are the best.

The way it works is by starting with a group of solutions or answers. This group is called a 'population' and each solution is a 'person'. The genetic algorithm then 'mates' two of the solutions together to create a new solution. This new solution is called the 'offspring'. Finally, the genetic algorithm will pick the 'fittest' offspring to be part of the next generation. This means the offspring that has the best solution to the problem. The genetic algorithm will repeat this process over and over, creating new generations of solutions, until it finds the best solution. This process is called 'selection'.