1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
|
from pyevolve import G1DList, GSimpleGA, Selectors, Statistics
from pyevolve import Initializators, Mutators, Consts, DBAdapters
# This is the Rosenbrock Function
def rosenbrock(xlist):
sum_var = 0
for x in xrange(1, len(xlist)):
sum_var += 100.0 * (xlist[x] - xlist[x-1]**2)**2 + (1 - xlist[x-1])**2
return sum_var
def run_main():
# Genome instance
genome = G1DList.G1DList(15)
genome.setParams(rangemin=-1, rangemax=1.1)
genome.initializator.set(Initializators.G1DListInitializatorReal)
genome.mutator.set(Mutators.G1DListMutatorRealRange)
# The evaluator function (objective function)
genome.evaluator.set(rosenbrock)
# Genetic Algorithm Instance
ga = GSimpleGA.GSimpleGA(genome)
ga.setMinimax(Consts.minimaxType["minimize"])
ga.selector.set(Selectors.GRouletteWheel)
ga.setGenerations(4000)
ga.setCrossoverRate(0.9)
ga.setPopulationSize(100)
ga.setMutationRate(0.03)
ga.evolve(freq_stats=500)
# Best individual
best = ga.bestIndividual()
print "\nBest individual score: %.2f" % (best.score,)
print best
if __name__ == "__main__":
run_main()
|
