def schwefel_on_cube(u: [float]) -> float:
# https://deap.readthedocs.io/en/master/api/benchmarks.html#deap.benchmarks.schwefel
u_squished = [1000 * (ui**1.1 - 0.5) for ui in u]
try:
return 0.001 * benchmarks.schwefel(u_squished)[0]
except Exception as e:
raise Exception(e)
def compute_fitness(self):
self.mFitness = benchmarks.schwefel(Chromosome.toArray(self))[0]
#self.mFitness = benchmarks.ackley(Chromosome.toArray(self))[0]
#self.mFitness = benchmarks.himmelblau(Chromosome.toArray(self))[0]
#self.mFitness = benchmarks.griewank(Chromosome.toArray(self))[0]
#self.mFitness = benchmarks.rastrigin(Chromosome.toArray(self))[0]
return
def get_objective_function(sol):
if obj_fcn == 'shekel':
return shekel(sol, A, C)[0]
elif obj_fcn == 'schwefel':
return -benchmarks.schwefel(sol)[0]
elif obj_fcn == 'griewank':
return -benchmarks.griewank(sol)[0]
elif obj_fcn == 'rastrigin':
return -benchmarks.rastrigin(sol)[0]
elif obj_fcn == 'ackley':
return -benchmarks.ackley(sol)[0]
elif obj_fcn == 'rosenbrock':
return -benchmarks.rosenbrock(sol)[0]
elif obj_fcn == 'schaffer':
return -benchmarks.schaffer(sol)[0]
else:
print "wrong function name"
sys.exit(-1)
def evaluate(self, x):
return schwefel(x)[0]
def fitness(X):
X = np.atleast_2d(X)
return np.array([benchmarks.schwefel(x)[0] for x in X]) + \
np.sqrt(noise_var) * np.random.randn(X.shape[0])
def schwefel_arg0(sol):
return benchmarks.schwefel(sol)[0]
def schwefel_arg0(sol):
return benchmarks.schwefel(sol)[0]
def schwefel_arg0(sol):
return np.nan if w_obstacles and sol[2] == 1 else benchmarks.schwefel(sol[:2])[0]
def schwefel_func (x):
a = benchmarks.schwefel(x)
fit = a.max (axis = 1)
return fit
def evalBenchmark(individual):
return benchmarks.schwefel(individual)
