geophysicsbase.g[1] = singlepopulation['population_properties'][1] + geophysicsbase.g[1]
geophysicsbase.g[2] = singlepopulation['population_properties'][2] + geophysicsbase.g[2]
leastsquare = TReg(geophysicsbase.A, geophysicsbase.g, 1E-11)
f = leastsquare.getf()
ro = np.dot(geophysicsbase.A, f)
ro = LA.norm(ro - geophysicsbase.g)**2
return ro
def printBestValue(population):
sortresult = np.sort(population, order=['fitness', 'population_properties'], axis=None)
print(str(sortresult[0]['fitness']) + " " + str(sortresult[0]['population_properties'][0]) + " " + str(sortresult[0]['population_properties'][1])+ " " + str(sortresult[0]['population_properties'][2]))
if __name__ == '__main__':
populationnumer_length = 100
cea = CEAs(3, populationnumer_length)
cea.init_individual(-1.0, 1.0, 100)
for i in range(0, 1000):
# for each node in the population
for i in range(0, populationnumer_length):
for j in range(0, populationnumer_length):
# evaluate individual at node
cea.population[i][j]['fitness'] = singlepopulationfitness(cea.population[i][j])
# produce offspring
offsprings = cea.produceOffSpring(i, j)
# evaluate offspring
for offspring in offsprings:
offspring['fitness'] = singlepopulationfitness(offspring)
#assign one of the offspring to node according to a given criterion using binary tournament
tournament_offspring = np.array([], dtype=cea.populationStruct)
offspring_A_index = np.random.random_integers(0, len(offsprings)-1)
def halfplanprocessing1(q1, cea, populationnumer_length):
for i in range(0, populationnumer_length):
for j in range(0, int(populationnumer_length/2)):
singlegenerationprocess(i, j, cea)
q1.put(cea)
def halfplanprocessing2(q2, cea, populationnumer_length):
for i in range(0, populationnumer_length):
for j in range(int(populationnumer_length/2), populationnumer_length):
singlegenerationprocess(i, j, cea)
q2.put(cea)
from multiprocessing import Process, Queue
if __name__ == '__main__':
populationnumer_length = 100
cea = CEAs(3, populationnumer_length)
cea.init_individual(-1.0, 1.0, 10)
for loop in range(0, 1000):
# for each node in the population
import copy
q1 = Queue()
q2 = Queue()
process1 = Process(target=halfplanprocessing1, args=(q1, cea, populationnumer_length,))
process2 = Process(target=halfplanprocessing2, args=(q2, cea, populationnumer_length,))
process1.start()
process2.start()
cea1 = q1.get()
cea2 = q2.get()
for i in range(0, populationnumer_length):
for j in range(0, int(populationnumer_length/2)):
cea.population[i][j] = cea1.population[i][j]
