opytimizer.optimizers.swarm.pio¶
Pigeon-Inspired Optimization.
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class
opytimizer.optimizers.swarm.pio.
PIO
(params: Optional[Dict[str, Any]] = None)¶ A PIO class, inherited from Optimizer.
This is the designed class to define PIO-related variables and methods.
References
H. Duan and P. Qiao. Pigeon-inspired optimization:a new swarm intelligence optimizerfor air robot path planning. International Journal of IntelligentComputing and Cybernetics (2014).
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__init__
(params: Optional[Dict[str, Any]] = None) → None¶ Initialization method.
Parameters: params – Contains key-value parameters to the meta-heuristics.
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n_c1
¶ Number of mapping iterations.
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n_c2
¶ Number of landmark iterations.
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R
¶ Map and compass factor.
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n_p
¶ Number of pigeons.
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velocity
¶ Array of pulse rates.
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compile
(space: opytimizer.core.space.Space) → None¶ Compiles additional information that is used by this optimizer.
Parameters: space – A Space object containing meta-information.
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_calculate_center
(agents: List[opytimizer.core.agent.Agent]) → numpy.ndarray¶ Calculates the center position (eq. 8).
Parameters: agents – List of agents. Returns: The center position. Return type: (np.ndarray)
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_update_center_position
(position: numpy.ndarray, center: numpy.ndarray) → None¶ Updates a pigeon position based on the center (eq. 9).
Parameters: - position – Agent’s current position.
- center – Center position.
Returns: A new center-based position.
Return type: (np.ndarray)
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update
(space: opytimizer.core.space.Space, iteration: int) → None¶ Wraps Pigeon-Inspired Optimization over all agents and variables.
Parameters: - space – Space containing agents and update-related information.
- iteration – Current iteration.
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