opytimizer.optimizers.swarm.stoa

Sooty Tern Optimization Algorithm.

class opytimizer.optimizers.swarm.stoa.STOA(params: Optional[Dict[str, Any]] = None)

An STOA class, inherited from Optimizer.

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

References

G. Dhiman and A. Kaur. STOA: A bio-inspired based optimization algorithm for industrial engineering problems. Engineering Applications of Artificial Intelligence (2019).

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

Initialization method.

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

Cf

Controlling variable.

u

Spiral shape first constant.

v

Spiral shape second constant.

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

Wraps Sooty Tern Optimization Algorithm over all agents and variables.

Parameters:

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