UMDA
Module: opytimizer.optimizers.single_objective.boolean.umda
An UMDA class, inherited from Optimizer.
This is the designed class to define UMDA-related variables and methods.
References: H. Mühlenbein. The equation for response to selection and its use for prediction. Evolutionary Computation (1997).
Constructor
UMDA(params: Optional[Dict[str, Any]] = None) -> None
Parameters
| Parameter | Type | Default | Description |
|---|---|---|---|
params | Optional[Dict[str, Any]] | None | — |
Methods
update
update(self, space: opytimizer.core.space._SingleObjectiveSpace) -> None
Wraps Univariate Marginal Distribution Algorithm over all agents and variables.
Parameters
| Parameter | Type | Default | Description |
|---|---|---|---|
space | opytimizer.core.space._SingleObjectiveSpace | Space containing agents and update-related information. |