WAOA
Module: opytimizer.optimizers.single_objective.swarm.waoa
A WAOA class, inherited from Optimizer.
This is the designed class to define WAOA-related variables and methods.
References: P. Trojovský and M. Dehghani. A new bio-inspired metaheuristic algorithm for solving optimization problems based on walruses behavior. Scientific Reports (2023).
Constructor
WAOA(params: Optional[Dict[str, Any]] = None) -> None
Parameters
| Parameter | Type | Default | Description |
|---|---|---|---|
params | Optional[Dict[str, Any]] | None | — |
Methods
evaluate
evaluate(self, space: opytimizer.core.space._SingleObjectiveSpace) -> None
Evaluates the search space according to the objective function.
Parameters
| Parameter | Type | Default | Description |
|---|---|---|---|
space | opytimizer.core.space._SingleObjectiveSpace | A Space object that will be evaluated. |
update
update(self, space: opytimizer.core.space._SingleObjectiveSpace, function: opytimizer.core.function.Function, iteration: int) -> None
Wraps Walrus Optimization Algorithm over all agents and variables.
Parameters
| Parameter | Type | Default | Description |
|---|---|---|---|
space | opytimizer.core.space._SingleObjectiveSpace | Space containing agents and update-related information. | |
function | opytimizer.core.function.Function | A Function object that will be used as the objective function. | |
iteration | int | Current iteration. |