generic exception of cma module

``Options()`` returns a dictionary with the available options and their default values for function fmin and for class CMAEvolutionStrategy.

data logger for class `CMAEvolutionStrategy`. The logger is identified by its name prefix and writes or reads according data files. E

blanc container class for having a collection of attributes

CMA-ES stochastic optimizer class with ask-and-tell interface. See `fmin` for the one-line-call functional interface. Calling sequence

container to keep track of the best solution seen

keep and update a termination condition dictionary, which is "usually" empty and returned by `CMAEvolutionStrategy.stop()`. Details -

unstable experimental code, updates ps, sigma, sigmai, pr, r, sigma_r, mean, all from self. Depends on that the ordering of solutions has

Computes the boundary penalty. Must be updated each iteration, using the `update` method. Details ------- The penalty computes l

strategy parameters like population size and learning rates. Note: contrary to `Options`, `CMAParameters` is not (yet) part of the

32-bit C overflows after int(2**32/1e6) == 4294s about 72 min

versatile container for test objective functions

Genotype-phenotype transformation. Method `pheno` provides the transformation from geno- to phenotype, that is from the internal represent

Noise handling according to [Hansen et al 2009, A Method for Handling Uncertainty in Evolutionary Optimization...] The interface of this c

Rotation class that implements an orthogonal linear transformation, one for each dimension. Used to implement non-separable test functions.

dictionary with computation of an hash key for the inserted solutions and a stack of previously inserted same solutions. Each entry is meant

abstract" base class for a data logger that can be used with an `OOOptimizer`

abstract" base class for a data logger that can be used with an `OOOptimizer`

data logger for class `Strategy`. The logger is identified by its name prefix and writes or reads according data files. Examples

for conveniently adding features to a dictionary. The actual dictionary is in ``self.data``. Copy-paste and modify setitem, getitem, and del

depreciated, abstract base class for genotyp-phenotype transformation, to be implemented. See (and rather use) option ``transformation`` o

static convenience math helper functions, if the function name is preceded with an "a", a numpy array is returned

abstract" base class for an OO optimizer interface with methods `__init__`, `ask`, `tell`, `stop`, `result`, and `optimize`. Only `optimize`

plot sections through an objective function. A first rational thing to do, when facing an (expensive) application. By default 6 points in ea

depreciated, SolutionDict should do, to be removed after SolutionDict has been successfully applied. dictionary with computation of an hash