def __init__(self, genome, *args, **kwargs):
# Initialize original GA engine.
GSimpleGA.__init__(self, genome, *args, **kwargs)
self.internalPop = CustomGPopulation(genome)
# Set custom evolution parameters.
self.setMinimax(minimaxType["minimize"])
self.setMutationRate(0.05)
self.setCrossoverRate(1.0)
# Useful callbacks (stats, stopping evolution).
self.stepCallback.add(stats_step_callback)
self.terminationCriteria.add(stop_flag_criteria)
# Clean previous stop flag.
stop_file = self.getParam("stop_file", None)
if stop_file and os.path.isfile(stop_file):
os.remove(stop_file)
def __init__(self, genome, *args, **kwargs):
# Initialize original GA engine.
GSimpleGA.__init__(self, genome, *args, **kwargs)
self.internalPop = CustomGPopulation(genome)
# Set custom evolution parameters.
self.setMinimax(minimaxType["minimize"])
self.setMutationRate(0.05)
self.setCrossoverRate(1.0)
# Useful callbacks (stats, stopping evolution).
self.stepCallback.add(stats_step_callback)
self.terminationCriteria.add(stop_flag_criteria)
# Clean previous stop flag.
stop_file = self.getParam("stop_file", None)
if stop_file and os.path.isfile(stop_file):
os.remove(stop_file)
