Imanol Perez


......@@ -6,7 +6,7 @@ This code tries to show how to use genetic algorithms to create a simple trading
Genetic algorithms simulate the evolution of a species. It starts with a random population of organisms, which represent algorithms. Then, after many generations the strongest algorithms survive. In general, genetic algorithms possess the following structure:
1. Generate a random population of organisms
1. Generate a random population of organisms.
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.