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March 14, 2021 10:26
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Roulette wheel selection example in python for minimisation problems
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import numpy as np | |
def roulette_wheel_selection(population): | |
# Computes the totallity of the population fitness | |
population_fitness = sum([chromosome.fitness for chromosome in population]) | |
# Computes for each chromosome the probability | |
chromosome_probabilities = [chromosome.fitness/population_fitness for chromosome in population] | |
# Making the probabilities for a minimization problem | |
chromosome_probabilities = 1 - np.array(chromosome_probabilities) | |
# Selects one chromosome based on the computed probabilities | |
return np.random.choice(population p=chromosome_probabilities) |
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Maybe you would be interested in checking the full code and adapt it to yours.
https://github.com/rocreguant/personal_blog/tree/main/Genetic_Algorithm_Python_Example
If you have more questions I'm glad to answer them ;)