opytimizer.optimizers.population.coa¶

Coyote Optimization Algorithm.

class opytimizer.optimizers.population.coa.COA(params: Optional[Dict[str, Any]] = None)¶

A COA class, inherited from Optimizer.

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

References

J. Pierezan and L. Coelho. Coyote Optimization Algorithm: A New Metaheuristic for Global Optimization Problems. IEEE Congress on Evolutionary Computation (2018).

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

Initialization method.

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

n_p¶: Number of packs.

n_c¶: Number of coyotes per pack.

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

Compiles additional information that is used by this optimizer.

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

_get_agents_from_pack(agents: List[opytimizer.core.agent.Agent], index: int) → List[opytimizer.core.agent.Agent]¶

Gets a set of agents from a specified pack.

Parameters:	agents – List of agents. index – Index of pack.
Returns:	A sorted list of agents that belongs to the specified pack.
Return type:	(List[Agent])

_transition_packs(agents: List[opytimizer.core.agent.Agent]) → None¶

Transits coyotes between packs (eq. 4).

Parameters:	agents – List of agents.

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

Wraps Coyote Optimization Algorithm 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.