def main():
"""
Main program
"""
args = ArgsCEC05()
if args.hasError:
args.print_help_exit()
fun = args.function
dim = args.dimension
times = args.times
print "Function: %d" % fun
print "Dimension: %d" % dim
print "Times: %d" % times
cec2005.config(fun, dim)
domain = cec2005.domain(fun)
# domain = [-5, 5]
print "Domain: ", domain
# dim=10
ea = SSGA(domain=domain, size=60, dim=dim, fitness=cec2005.evaluate)
for x in xrange(times):
ea.run(maxeval=dim * 10000)
[bestsol, bestfit] = ea.getBest()
print "BestSol: ", bestsol
print "BestFitness: %e" % bestfit
ea.reset()
def main():
"""
Main program
"""
args = ArgsCEC05()
if args.hasError:
args.print_help_exit()
fun = args.function
dim = args.dimension
print "Function: %d" %fun
print "Dimension: %d" %dim
cec2005.config(fun, dim)
domain = cec2005.domain(fun)
# domain = [-5, 5]
print "Domain: ", domain
# dim=10
for x in xrange(25):
bestsol,bestfit = ipopcmaes(cec2005.evaluate,domain,dim,maxevals=dim*10000)
print "BestSol: ", bestsol
print "BestFitness: %e" %bestfit
print "%e" %bestfit
#import libhello
#print libhello.greet()
#planet = libhello.World()
#planet.set('howdy')
#print planet.greet()
import libpycec2005 as cec2005
import numpy as np
for f in range(1,26):
cec2005.config(f, 30)
print cec2005.isBound()
x = np.random.uniform(-5.0, 5.0, 30)
x = np.zeros(30)
print cec2005.evaluate(x)
if len(sys.argv)<=1:
sys.exit("Lacking the function value")
fun = int(sys.argv[1])
if (fun <= 0 or fun > 25):
sys.exit("Function %d non valide" %fun)
if len(sys.argv)>2:
fname = sys.argv[2]
else:
fname = 'output'
# Init cec2005
dim=2
cec2005.config(fun, dim)
domain = cec2005.domain(fun)
#domain = [-5,5]
#function_fitness = fitness_sphere
#function_fitness = fitness_rosenbrock
function_fitness = cec2005.evaluate
def algorithm_fitness(sol):
global eval
eval += 1
global function_fitness
return function_fitness(sol)
ea = SSGA(domain=domain, size=50, dim=dim, fitness=algorithm_fitness)
# Initialize variables needed to create and store the example data set.