metaheuristic_designer.benchmarks.ioh_wrapper module

class IOHObjective(fid, dimension, instance=1, problem_class=None, compact_name=False)

Bases: ObjectiveFunc

Adapts an IOH benchmark problem to the ObjectiveFunc interface.

Parameters:

fidint or str

BBOB function ID (1-24) or name (e.g. "Sphere").

dimensionint

Problem dimensionality.

instanceint, optional

Problem instance (default 1).

problem_classProblemClass, optional

IOH problem type (default ProblemClass.BBOB).

ioh_optionsdict, optional

Extra keyword arguments passed to ioh.get_problem.

compact_namestr, optional

Use a shortened name for the benchmark when compact_name is True.

Attributes:

params

Access parameter values by attribute-style lookup.

Parameters:

• fid (int | str)

• dimension (int)

• instance (int)

• problem_class (None)

• compact_name (bool)

Methods

__call__(population)	Shorthand for executing the objective function on a vector.
add_parameter_constraints(...)	Attach extra constraint handlers for extended encodings (e.g., PSO).
calculate_fitness(population)	Evaluate fitness for the whole population.
get_params()	Return a copy of the current parameter dictionary.
get_state()	Return a dictionary with the current configuration.
objective(x)	Implementation of the objective function.
repair_population(population)	Transforms an invalid vector into one that satisfies the restrictions of the problem.
restart()	Reset the evaluation counter to zero.
store_kwargs([progress])	Store keyword arguments and evaluate them at the given progress.
update(progress)	Re-evaluate all stored parameters at the current progress.
update_kwargs([progress])	Add or replace parameters and immediately evaluate them.

attach_logger
detach_logger

objective(x)

Implementation of the objective function.

Parameters:

solution: Any

The solution for which the fitness will be calculated.

Returns:

objective_value: VectorLike | ScalarLike

Value of the objective function given a solution.

attach_logger(logger)

detach_logger()

restart()

Reset the evaluation counter to zero.

class BBOBObjective(fid, dimension, instance, compact_name=None)

Bases: IOHObjective

Attributes:

params

Access parameter values by attribute-style lookup.

Methods

__call__(population)	Shorthand for executing the objective function on a vector.
add_parameter_constraints(...)	Attach extra constraint handlers for extended encodings (e.g., PSO).
calculate_fitness(population)	Evaluate fitness for the whole population.
get_params()	Return a copy of the current parameter dictionary.
get_state()	Return a dictionary with the current configuration.
objective(x)	Implementation of the objective function.
repair_population(population)	Transforms an invalid vector into one that satisfies the restrictions of the problem.
restart()	Reset the evaluation counter to zero.
store_kwargs([progress])	Store keyword arguments and evaluate them at the given progress.
update(progress)	Re-evaluate all stored parameters at the current progress.
update_kwargs([progress])	Add or replace parameters and immediately evaluate them.

attach_logger
detach_logger