opytimizer.optimizers.swarm.ba¶
Bat Algorithm.
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class
opytimizer.optimizers.swarm.ba.BA(params: Optional[Dict[str, Any]] = None)¶ A BA class, inherited from Optimizer.
This is the designed class to define BA-related variables and methods.
References
X.-S. Yang. A new metaheuristic bat-inspired algorithm. Nature inspired cooperative strategies for optimization (2010).
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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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f_min¶ Minimum frequency range.
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f_max¶ Maximum frequency range.
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A¶ Loudness parameter.
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r¶ Pulse rate.
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frequency¶ Array of frequencies.
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velocity¶ Array of velocities.
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loudness¶ Array of loudnesses.
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pulse_rate¶ 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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update(space: opytimizer.core.space.Space, function: opytimizer.core.function.Function, iteration: int) → None¶ Wraps Bat 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.
- iteration – Current iteration.
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