Update

README.md

@@ -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