cma.FitnessFunctions

Class FitnessFunctions

object --+ | FitnessFunctions

Instance Methods

__init__(self)
x.__init__(...) initializes x; see help(type(x)) for signature

source code

rot(self, x, fun, rot=1, args=())
returns fun(rotation(x), *args), ie. fun applied to a rotated argument source code

somenan(self, x, fun, p=0.1)
returns sometimes np.NaN, otherwise fun(x)

source code

rand(self, x)
Random test objective function

source code

linear(self, x)

source code

lineard(self, x)

source code

sphere(self, x)
Sphere (squared norm) test objective function

source code

grad_sphere(self, x, *args)

source code

grad_to_one(self, x, *args)

source code

sphere_pos(self, x)
Sphere (squared norm) test objective function

source code

spherewithoneconstraint(self, x)

source code

elliwithoneconstraint(self, x, idx=[-1]) source code

spherewithnconstraints(self, x)

source code

noisysphere(self, x, noise=2.1e-09, cond=1.0, noise_offset=0.1)
noise=10 does not work with default popsize, noise handling does not help

source code

spherew(self, x)
Sphere (squared norm) with sum x_i = 1 test objective function

source code

partsphere(self, x)
Sphere (squared norm) test objective function

source code

sectorsphere(self, x)
asymmetric Sphere (squared norm) test objective function

source code

cornersphere(self, x)
Sphere (squared norm) test objective function constraint to the corner

source code

cornerelli(self, x)

source code

cornerellirot(self, x)

source code

normalSkew(self, f)

source code

noiseC(self, x, func=<function sphere at 0x106bf6c08>, fac=10, expon=0.8)

source code

noise(self, x, func=<function sphere at 0x106bf6c08>, fac=10, expon=1)

source code

cigar(self, x, rot=0, cond=1000000.0, noise=0)
Cigar test objective function

source code

grad_cigar(self, x, *args)

source code

diagonal_cigar(self, x, cond=1000000.0)

source code

tablet(self, x, rot=0)
Tablet test objective function

source code

grad_tablet(self, x, *args)

source code

cigtab(self, y)
Cigtab test objective function

source code

twoaxes(self, y)
Cigtab test objective function

source code

ellirot(self, x)

source code

hyperelli(self, x)

source code

halfelli(self, x)

source code

elli(self, x, rot=0, xoffset=0, cond=1000000.0, actuator_noise=0.0, both=False)
Ellipsoid test objective function

source code

grad_elli(self, x, *args)

source code

fun_as_arg(self, x, *args)
fun_as_arg(x, fun, *more_args) calls fun(x, *more_args). source code

grad_numerical(self, x, func, epsilon=None)
symmetric gradient

source code

elliconstraint(self, x, cfac=100000000.0, tough=True, cond=1000000.0)
ellipsoid test objective function with "constraints"

source code

rosen(self, x, alpha=100.0)
Rosenbrock test objective function

source code

grad_rosen(self, x, *args)

source code

diffpow(self, x, rot=0)
Diffpow test objective function

source code

rosenelli(self, x)

source code

ridge(self, x, expo=2)

source code

ridgecircle(self, x, expo=0.5)
happy cat by HG Beyer

source code

happycat(self, x, alpha=0.125)

source code

flat(self, x)

source code

branin(self, x)

source code

goldsteinprice(self, x)

source code

griewank(self, x)

source code

rastrigin(self, x)
Rastrigin test objective function

source code

schaffer(self, x)
Schaffer function x0 in [-100..100]

source code

schwefelelli(self, x)

source code

schwefelmult(self, x, pen_fac=10000.0)
multimodal Schwefel function with domain -500..500

source code

optprob(self, x)

source code

lincon(self, x, theta=0.01)
ridge like linear function with one linear constraint

source code

rosen_nesterov(self, x, rho=100)
needs exponential number of steps in a non-increasing f-sequence.

source code

powel_singular(self, x)

source code

styblinski_tang(self, x)
in [-5, 5]

source code

trid(self, x)

source code

bukin(self, x)
Bukin function from Wikipedia, generalized simplistically from 2-D.

source code

Inherited from object: __delattr__, __format__, __getattribute__, __hash__, __new__, __reduce__, __reduce_ex__, __repr__, __setattr__, __sizeof__, __str__, __subclasshook__

Properties

[hide private]

Inherited from object: __class__

init(self)
(Constructor)

source code

x.__init__(...) initializes x; see help(type(x)) for signature

Overrides: object.__init__: (inherited documentation)

fun_as_arg(self, x, *args)

source code

fun_as_arg(x, fun, *more_args) calls fun(x, *more_args).

Use case:

fmin(cma.fun_as_arg, args=(fun,), gradf=grad_numerical)

calls fun_as_args(x, args) and grad_numerical(x, fun, args=args)

rosen_nesterov(self, x, rho=100)

source code

needs exponential number of steps in a non-increasing f-sequence.

x_0 = (-1,1,...,1) See Jarre (2011) "On Nesterov's Smooth Chebyshev-Rosenbrock Function"

bukin(self, x)

source code

Bukin function from Wikipedia, generalized simplistically from 2-D.

http://en.wikipedia.org/wiki/Test_functions_for_optimization

Class FitnessFunctions

__init__(self) (Constructor)

fun_as_arg(self, x, *args)

rosen_nesterov(self, x, rho=100)

bukin(self, x)

init(self)
(Constructor)