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Imanol Perez
Genetic algorithm for trading in Cpp
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dc2e33b8
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dc2e33b8
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Jan 01, 2017
by
Imanol Pérez
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GitHub
Jan 01, 2017
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@@ -10,7 +10,7 @@ Genetic algorithms simulate the evolution of a species. It starts with a random
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Select the top performers, acording to a certain criteria (a fitness function is usually required here).
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Perform a crossover of the outperformers to produce new children.
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Apply a random mutation to some of the children. This way, we end up with a new generation of organisms.
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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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