opytimizer.optimizers.swarm.mfo¶
Moth-Flame Optimization.
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class
opytimizer.optimizers.swarm.mfo.
MFO
(params: Optional[Dict[str, Any]] = None)¶ A MFO class, inherited from Optimizer.
This is the designed class to define MFO-related variables and methods.
References
S. Mirjalili. Moth-flame optimization algorithm: A novel nature-inspired heuristic paradigm. Knowledge-Based Systems (2015).
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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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b
¶ Spiral constant.
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update
(space: opytimizer.core.space.Space, iteration: int, n_iterations: int) → None¶ Wraps Moth-Flame Optimization over all agents and variables.
Parameters: - space – Space containing agents and update-related information.
- iteration – Current iteration.
- n_iterations – Maximum number of iterations.
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