metaheuristic_designer.strategies.no_search module

No-op strategy that returns the population unchanged (debug / baseline).

class NoSearch(initializer, name='No search', **kwargs)

Bases: SearchStrategy

Debug strategy that does nothing.

The population is never modified. Useful as a baseline or for testing other components in isolation.

Parameters:

initializerInitializer

Population initializer.

namestr, optional

Display name (default "No search").

**kwargs

Forwarded to SearchStrategy.

Attributes:

params

Access parameter values by attribute-style lookup.

population_size

Gets the amount of individuals in the population.

Parameters:

• initializer (Initializer)

• name (str)

Methods

extra_report()	Hook called at the end of the optimization (intended for subclasses).
extra_step_info()	Hook called after each generation (intended for subclasses).
gather_parameters()	Collect the current parameters from all sub-components.
get_params()	Return a copy of the current parameter dictionary.
get_state()	Gets the current state of the search strategy as a dictionary.
initialize(objfunc)	Initializes the optimization search strategy.
step(prev_population, objfunc)	Performs a single iteration of the algorithm on a given population.
store_kwargs([progress])	Store keyword arguments and evaluate them at the given progress.
update(progress)	Advances the state of the search by one iteration.
update_kwargs([progress])	Add or replace parameters and immediately evaluate them.

reset

step(prev_population, objfunc)

Performs a single iteration of the algorithm on a given population.

Return type:

Population

Parameters:

populationPopulation

Population of solutions in which to perform the operators.

Returns:

Population

Next population after performing all the steps in the iteration.

Parameters:

• prev_population (Population)

• objfunc (ObjectiveFunc)