def main():
max_generations = 100
max_not_improved = 10
# Creating initial population
pop = Population( size = 100,
crossover = 0.4,
mutation = 0.05,
elitism = 0.05,
imigration = 0.3,
tournament_size = 10,
debug = False)
# Generations without improvements
no_improvements = 0
for i in range(max_generations):
print 'Generation %d' % (i+1)
print 'Calculating fitness'
pop.evaluate()
pop.plot_evolution()
if not pop.improved:
no_improvements += 1
print "Didn't improve:", no_improvements
else:
no_improvements = 0
if no_improvements == max_not_improved:
break
print 'Evolving'
pop.evolve()
print
if no_improvements == max_not_improved:
print '%d generations without improvement' % (max_not_improved)
print 'Best solution:'
pop.show_first()
def main():
max_generations = 100
max_not_improved = 10
# Creating initial population
pop = Population( size = 100,
crossover = 0.4,
mutation = 0.05,
elitism = 0.05,
imigration = 0.3,
tournament_size = 10,
debug = False)
# Generations without improvements
no_improvements = 0
for i in range(max_generations):
#print 'Generation %d' %(i)
print 'Calculating fitness'
pop.evaluate()
pop.plot_evolution()
if not pop.improved:
no_improvements += 1
print "Didn't improve:", no_improvements
else:
no_improvements = 0
if no_improvements == max_not_improved:
break
print 'Evolving'
pop.evolve()
print
if no_improvements == max_not_improved:
print '%d generations without improvement' % (max_not_improved)
print 'Best solution:'
pop.show_first()
def main(filename=None, ports=[5000]):
if not filename:
print 'Using default parameters'
params = {
'max_generations': 200,
'max_not_improved': 20,
'size': 100,
'crossover': 0.3,
'mutation': 0.05,
'elitism': 0.2,
'imigration': 0.2,
'tour_size': 8,
'local': None
}
else:
print 'Loading parameters from %s\n' % (filename)
params = util.parse_json(filename)
# Creating initial population
pop = Population(size=params['size'],
crossover=params['crossover'],
mutation=params['mutation'],
elitism=params['elitism'],
imigration=params['imigration'],
tour_size=params['tour_size'],
local=params['local'])
sockets = []
for port in ports:
sock = util.open_socket(int(port))
sockets.append(sock)
Chromo.sockets = sockets
Chromo.cross_op = params['cross_op']
# Generations without improvements
no_improv = 0
for i in range(params['max_generations']):
print 'Generation %d' % (i + 1)
print 'Calculating fitness'
for sock in Chromo.sockets:
util.send_msg(sock, 'NEWGEN\n')
best = pop.evaluate()
for sock in Chromo.sockets:
util.send_msg(sock, 'ENDGEN\n')
print 'main:current_best ', best
#pop.plot_evolution()
if not pop.improved:
no_improvements += 1
print "Didn't improve:", no_improvements
if no_improvements == params['max_not_improved']:
print 'Reached limit for not improved generations'
break
else:
no_improvements = 0
print 'Evolving'
pop.evolve()
print
print '\nBest solution:'
#pop.show_first()
print 'Fitness: ', best[0]
print 'Genes: ', Chromo.to_str(best[1]), '\''
# Closing connection
for sock in Chromo.sockets:
util.send_msg(sock, 'ENDGA\n')
sock.close()