metaheuristic_designer.operators.extended_operator module

Base operator for algorithms that split the genotype into solution and parameters.

class ExtendedOperator(base_operator, param_operators, encoding, name=None, **kwargs)

Bases: Operator

Operator that handles a genotype split into solution and extra parameters.

A mask is built from the encoding to separate the solution part from the parameter blocks. The solution is processed by base_operator, while each parameter block can be mutated/adapted by its own operator.

Parameters:

base_operatorOperator

Operator applied to the solution part.

param_operatorsdict

Mapping from parameter names to their mutation operators.

encodingParameterExtendingEncoding

The encoding that defines the genotype layout.

namestr, optional

Display name; defaults to the base operator’s name.

**kwargs

Forwarded to Operator.

Attributes:

params

Access parameter values by attribute-style lookup.

Parameters:

• base_operator (Operator)

• param_operators (dict)

• encoding (ParameterExtendingEncoding)

• name (str)

Methods

__call__(population)	Shorthand for evolve().
evolve(population)	Apply the main masked operator (solution + parameter mutations).
gather_params()	Collect parameters from the base operator and all parameter operators.
get_params()	Return a copy of the current parameter dictionary.
get_state()	Gets the current state of the algorithm as a dictionary.
store_kwargs([progress])	Store keyword arguments and evaluate them at the given progress.
update(progress)	Update schedulable parameters and propagate to sub-operators.
update_kwargs([progress])	Add or replace parameters and immediately evaluate them.

gather_params()

Collect parameters from the base operator and all parameter operators.

Return type:

dict

Returns:

dict

Flat dictionary with dotted keys.

evolve(population)

Apply the main masked operator (solution + parameter mutations).

Return type:

Population

Parameters:

populationPopulation

The current population.

Returns:

Population

The evolved population.

Parameters:

population (Population)

update(progress)

Update schedulable parameters and propagate to sub-operators.

Parameters:

progressfloat

Current progress of the algorithm (0-1).

Parameters:

progress (float)