opytimizer.optimizers.population.gwo¶
Grey Wolf Optimizer.
-
class
opytimizer.optimizers.population.gwo.
GWO
(params: Optional[Dict[str, Any]] = None)¶ A GWO class, inherited from Optimizer.
This is the designed class to define GWO-related variables and methods.
References
S. Mirjalili, S. Mirjalili and A. Lewis. Grey Wolf Optimizer. Advances in Engineering Software (2014).
-
__init__
(params: Optional[Dict[str, Any]] = None) → None¶ Initialization method.
Parameters: params – Contains key-value parameters to the meta-heuristics.
-
_calculate_coefficients
(a: float) → Tuple[float, float]¶ Calculates the mathematical coefficients.
Parameters: a – Linear constant. Returns: Both A and C coefficients. Return type: (Tuple[float, float])
-
update
(space: opytimizer.core.space.Space, function: opytimizer.core.function.Function, iteration: int, n_iterations: int) → None¶ Wraps Grey Wolf Optimization over all agents and variables.
Parameters: - space – Space containing agents and update-related information.
- function – A Function object that will be used as the objective function.
- iteration – Current iteration.
- n_iterations – Maximum number of iterations.
-