AIWPSO
Module: opytimizer.optimizers.single_objective.swarm.pso
An AIWPSO class, inherited from PSO.
This is the designed class to define AIWPSO-related variables and methods.
References: A. Nickabadi, M. M. Ebadzadeh and R. Safabakhsh. A novel particle swarm optimization algorithm with adaptive inertia weight. Applied Soft Computing (2011).
Constructor
AIWPSO(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, iteration: int) -> None
Wraps Adaptive Inertia Weight Particle Swarm Optimization over all agents and variables.
Parameters
| Parameter | Type | Default | Description |
|---|---|---|---|
space | opytimizer.core.space._SingleObjectiveSpace | Union[_SingleObjectiveSpace, _MultiObjectiveSpace] containing agents and update-related information. | |
iteration | int | Current iteration. |