opytimizer.optimizers.population.ao

Aquila Optimizer.

class opytimizer.optimizers.population.ao.AO(params: Optional[Dict[str, Any]] = None)

An AO class, inherited from Optimizer.

This is the designed class to define AO-related variables and methods.

References

L. Abualigah et al. Aquila Optimizer: A novel meta-heuristic optimization Algorithm. Computers & Industrial Engineering (2021).

__init__(params: Optional[Dict[str, Any]] = None) → None

Initialization method.

Parameters:params – Contains key-value parameters to the meta-heuristics.

alpha

First exploitation adjustment coefficient.

delta

Second exploitation adjustment coefficient.

n_cycles

Number of cycles.

U

Cycle regularizer.

w

Angle regularizer.

update(space: opytimizer.core.space.Space, function: opytimizer.core.function.Function, iteration: int, n_iterations: int) → None

Wraps Aquila Optimizer 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.