opytimizer.optimizers.population.epo

Emperor Penguin Optimizer.

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

An EPO class, inherited from Optimizer.

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

References

G. Dhiman and V. Kumar. Emperor penguin optimizer: A bio-inspired algorithm for engineering problems. Knowledge-Based Systems (2018).

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

Initialization method.

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

Exploration control parameter.

l

Exploitation control parameter.

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

Wraps Emperor Penguin Optimization over all agents and variables.

Parameters:
  • space – Space containing agents and update-related information.
  • iteration – Current iteration.
  • n_iterations – Maximum number of iterations.