Commit dc2e33b8 by Imanol Pérez Committed by GitHub

Update

parent 2e82d3fa
......@@ -10,7 +10,7 @@ Genetic algorithms simulate the evolution of a species. It starts with a random
2. Select the top performers, acording to a certain criteria (a fitness function is usually required here).
3. Perform a crossover of the outperformers to produce new children.
4. Apply a random mutation to some of the children. This way, we end up with a new generation of organisms.
5. Repeat step 2), until the desired number of generations is achieved.
5. Repeat step 2, until the desired number of generations is achieved.
## The code
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