Run the method on each worker process, and collect the result of execution. The runner method will receive 'G' as its first argument,

:param loss: Symbolic expression for the loss function. :param target: A parameterized object to optimize over. It should implement m

Clean up operation,

Evaluates and sets the specified option value in environment `loc`. Many options need ``N`` to be defined in `loc`, some need `popsize

return a dictionary with the termination status. With ``check==False``, the termination conditions are not checked and the status migh

Add a time step record. Arguments: observation -- current or observation action -- action chosen by the agent

maps the phenotypic input argument into the genotypic space, that is, computes essentially the inverse of ``pheno``. By default a cop

This method should not be overwritten.

Compute the symbolic KL divergence of two distributions

load (or reload) data from output files, `load()` is called in `plot()` and `disp()`. Argument `filenameprefix` is the filename prefi

Resets the state of the environment, returning an initial observation. Outputs ------- observation : the initial obse

assumes that a figure is open

return a dictionary with default option values and description

register a `CMAEvolutionStrategy` instance for logging, ``append=True`` appends to previous data logged under the same name, by defaul

abstract method, return satisfied termination conditions in a dictionary like ``{'termination reason': value, ...}``, for example ``{'

Ellipsoid test objective function

return ``(x, f, evals)``

compute the Mahalanobis norm that is induced by the adapted sample distribution, covariance matrix ``C`` times ``sigma**2``, including

Sphere (squared norm) test objective function