input.file

Genetic Programing of music

###
### sample input parameter file for symbolic regression.
###

pop_size = 16
max_generations = 5
random_seed = 1

output.basename = music

# how to generate the initial population
init.method = half_and_half
init.depth = 4-6

# limits on tree size.
max_depth = 9

## breeding parameters (emulates Koza Ch. 7)

breed_phases = 3

breed[1].operator = crossover, select=(tournament, size=4)
#fitness
# (tournament, size=3)
breed[1].rate = 0.7

breed[2].operator = reproduction, select=(tournament, size=4)
#fitness
# (tournament, size=3)
breed[2].rate = 0.15

breed[3].operator = mutation, select=(tournament, size=4)
#fitness
# (tournament, size=3)
breed[3].rate=0.15