opytimizer.optimizers.population.aeo

Artificial Ecosystem-based Optimization.

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

An AEO class, inherited from Optimizer.

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

References

W. Zhao, L. Wang and Z. Zhang. Artificial ecosystem-based optimization: a novel nature-inspired meta-heuristic algorithm. Neural Computing and Applications (2019).

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

Initialization method.

Parameters:params – Contains key-value parameters to the meta-heuristics.
_production(agent: opytimizer.core.agent.Agent, best_agent: opytimizer.core.agent.Agent, iteration: int, n_iterations: int) → opytimizer.core.agent.Agent

Performs the producer update (eq. 1).

Parameters:
  • agent – Current agent.
  • best_agent – Best agent.
  • iteration – Current iteration.
  • n_iterations – Maximum number of iterations.
Returns:

An updated producer.
Return type:

(Agent)
_herbivore_consumption(agent: opytimizer.core.agent.Agent, producer: opytimizer.core.agent.Agent, C: float) → opytimizer.core.agent.Agent

Performs the consumption update by a herbivore (eq. 6).

Parameters:
  • agent – Current agent.
  • producer – Producer agent.
  • C – Consumption factor.
Returns:

An updated consumption by a herbivore.
_omnivore_consumption(agent: opytimizer.core.agent.Agent, producer: opytimizer.core.agent.Agent, consumer: opytimizer.core.agent.Agent, C: float) → opytimizer.core.agent.Agent

Performs the consumption update by an omnivore (eq. 8)

Parameters:
  • agent – Current agent.
  • producer – Producer agent.
  • consumer – Consumer agent.
  • C – Consumption factor.
Returns:

An updated consumption by an omnivore.
Return type:

(Agent)
_carnivore_consumption(agent: opytimizer.core.agent.Agent, consumer: opytimizer.core.agent.Agent, C: float) → opytimizer.core.agent.Agent

Performs the consumption update by a carnivore (eq. 7).

Parameters:
  • agent – Current agent.
  • consumer – Consumer agent.
  • C – Consumption factor.
Returns:

An updated consumption by a carnivore.
Return type:

(Agent)
_update_composition(agents: List[opytimizer.core.agent.Agent], best_agent: opytimizer.core.agent.Agent, function: opytimizer.core.function.Function, iteration: int, n_iterations: int) → None

Wraps production and consumption updates over all agents and variables (eq. 1-8).

Parameters:
  • agents – List of agents.
  • best_agent – Global best agent.
  • function – A Function object that will be used as the objective function.
  • iteration – Current iteration.
  • n_iterations – Maximum number of iterations.
_update_decomposition(agents: List[opytimizer.core.agent.Agent], best_agent: opytimizer.core.agent.Agent, function: opytimizer.core.function.Function) → None

Wraps decomposition updates over all agents and variables (eq. 9).

Parameters:
  • agents – List of agents.
  • best_agent – Global best agent.
  • function – A Function object that will be used as the objective function.
update(space: opytimizer.core.space.Space, function: opytimizer.core.function.Function, iteration: int, n_iterations: int) → None

Wraps Artificial Ecosystem-based Optimization 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.