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Cleaned up comments.

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SimpleArt
2020-11-27 20:03:43 -05:00
parent cbd0265cd8
commit 65a35e71dc
1 changed files with 14 additions and 11 deletions
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25
src/EasyGA.py
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@ -98,6 +98,9 @@ class GA(Attributes):
def adapt(self):
"""Modifies the parent ratio and mutation rates
based on the adapt rate and percent converged.
Attempts to balance out so that 25% of the desired
percent converged (50%*25% = 12.5% default)
is the amount converged at all times.
"""
# Don't adapt
@ -125,30 +128,30 @@ class GA(Attributes):
threshhold_fitness = self.population[round(self.percent_converged*len(self.population)/8)].fitness
# Way too few converged
# Way too few converged, adapt twice as fast
if abs(best_fitness - threshhold_fitness) > tol:
multiplier **= 2
limit = max_val / multiplier
self.parent_ratio = min(max_val, self.parent_ratio*multiplier)
self.selection_probability = min(max_val, self.selection_probability*multiplier)
self.chromosome_mutation_rate = max(min_val, self.chromosome_mutation_rate/multiplier)
self.gene_mutation_rate = max(min_val, self.gene_mutation_rate/multiplier)
self.parent_ratio = min(max_val, self.parent_ratio * multiplier)
self.selection_probability = min(max_val, self.selection_probability * multiplier)
self.chromosome_mutation_rate = max(min_val, self.chromosome_mutation_rate / multiplier)
self.gene_mutation_rate = max(min_val, self.gene_mutation_rate / multiplier)
# Too many converged: cross less and mutate more
else:
threshhold_fitness = self.population[round(self.percent_converged*len(self.population)/2)].fitness
threshhold_fitness = self.population[round(self.percent_converged*len(self.population)*3/8)].fitness
# Way too many converged
# Way too many converged, adapt twice as fast
if abs(best_fitness - threshhold_fitness) < tol:
multiplier **= 2
limit = max_val / multiplier
self.parent_ratio = max(min_val, self.parent_ratio/multiplier)
self.selection_probability = max(min_val, self.selection_probability/multiplier)
self.chromosome_mutation_rate = min(max_val, self.chromosome_mutation_rate*multiplier)
self.gene_mutation_rate = min(max_val, self.gene_mutation_rate*multiplier)
self.parent_ratio = max(min_val, self.parent_ratio / multiplier)
self.selection_probability = max(min_val, self.selection_probability / multiplier)
self.chromosome_mutation_rate = min(max_val, self.chromosome_mutation_rate * multiplier)
self.gene_mutation_rate = min(max_val, self.gene_mutation_rate * multiplier)