S3_Robots_and_AI_Genetic+Algorithms

Definition (Class Summary)
> This is repeated until some condition (for example number of populations or improvement of the best solution) is satisfied. ([])
 * Genetic algorithms are inspired by Darwin's theory about evolution. Solution to a problem solved by genetic algorithms is evolved. Algorithm is started with a **set of solutions** (represented by **chromosomes**) called**population**. Solutions from one population are taken and used to form a new population. This is motivated by a hope, that the new population will be better than the old one. Solutions which are selected to form new solutions (**offspring**) are selected according to their fitness - the more suitable they are the more chances they have to reproduce.

Examples or Activities
Visual Demo of a G.A. []