opytimizer.optimizers.swarm.ffoa¶
Fruit-Fly Optimization Algorithm.
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class
opytimizer.optimizers.swarm.ffoa.
FFOA
(params: Optional[Dict[str, Any]] = None)¶ A FFOA class, inherited from Optimizer.
This is the designed class to define FFOA-related variables and methods.
References
W.-T. Pan. A new Fruit Fly Optimization Algorithm: Taking the financial distress model as an example. Knowledge-Based Systems (2012).
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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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x_axis
¶ x axis.
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y_axis
¶ y axis.
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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) → None¶ Wraps Fruit-Fly 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.
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