# Copyright 2006 by Sean Luke and George Mason University
# Licensed under the Academic Free License version 3.0
# See the file "LICENSE" for more information

parent.0 = ../simple/simple.params

eval = ec.de.DEEvaluator
breed = ec.de.DEBreeder
# Other breed choices: ec.de.Best1BinDEBreeder, ec.de.Rand1EitherOrDEBreeder

# DE has certain parameters you must set.  Note that these parameters
# are fairly sensitive to the problem at hand.

# Scaling factor for mutation, used by all breeders:
breed.f = 0.1

# Gene-independent probability of crossover, used only by
# DEBreeder and Best1BinDEBreeder
breed.cr = 0.5

# Scaling factor for noise on F, used only by Best1BinDEBreeder
breed.f-noise = 0.001

# Probability of picking the "classic" algorithm versus the alternate, 
# only ud by Rand1EitherOrDEBreeder
breed.pf = 0.5