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Mathematically solved for weight

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SimpleArt
2020-12-06 11:35:30 -05:00
parent 7e4dffd646
commit ea93ad8796
1 changed files with 2 additions and 3 deletions
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5
src/EasyGA.py
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@ -204,14 +204,13 @@ class GA(Attributes):
for n in range(i, len(self.population)): for n in range(i, len(self.population)):
# Strongly cross with the best chromosome # Strongly cross with the best chromosome
# May reject negative weight # May reject negative weight or division by 0
try: try:
tol_n = tol(n)
self.population[n] = self.crossover_individual_impl( self.population[n] = self.crossover_individual_impl(
self, self,
self.population[n], self.population[n],
best_chromosome, best_chromosome,
min(0.25, (2*tol_n - tol_j) / tol_n) min(0.25, 2 * tol_j / (tol(n) - tol_j))
) )
# If negative weights can't be used, # If negative weights can't be used,