- This is based on the idea that problem solutions can be genetically encoded. A fitness function can take the information contained in a description and evaluates some properties.
- The GA emulates natural evolution like this:
- Creates an initial population of random chromosomes
- Select fit individuals for reproduction
- Generate new population through reproduction of selected individuals
- Continue doing so until an optimal solution has been found, or some other limit has been reached
