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Avoid adapting on the first generation and catch wrong target fitness type

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This commit is contained in:
SimpleArt
2020-12-13 10:07:23 -05:00
parent bd5b5b6e95
commit ffb36c91fc
1 changed files with 5 additions and 2 deletions
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7
src/EasyGA.py
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@ -87,7 +87,7 @@ class GA(Attributes):
# Adapt the ga if the generation times the adapt rate
# passes through an integer value.
adapt_counter = self.adapt_rate*self.current_generation
if int(adapt_counter) > int(adapt_counter - self.adapt_rate):
if int(adapt_counter) < int(adapt_counter + self.adapt_rate):
self.adapt()
number_of_generations -= 1
@ -262,8 +262,11 @@ class GA(Attributes):
etc.
"""
if self.target_fitness_type not in ('max', 'min'):
raise ValueError("Unknown target fitness type")
if in_place:
chromosome_list.sort( # list to be sorted
chromosome_list.sort( # list to be sorted
key = lambda chromosome: chromosome.fitness, # by fitness
reverse = (self.target_fitness_type == 'max') # ordered by fitness type
)