opytimizer.optimizers.swarm.af

Artificial Flora.

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

An AF class, inherited from Optimizer.

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

References

L. Cheng, W. Xue-han and Y. Wang. Artificial flora (AF) optimization algorithm. Applied Sciences (2018).

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

Initialization method.

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

c1

First learning coefficient.

c2

Second learning coefficient.

m

Amount of branches.

Q

Selective probability.

compile(space: opytimizer.core.space.Space) → None

Compiles additional information that is used by this optimizer.

Parameters:space – A Space object containing meta-information.

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

Wraps Artificial Flora 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.