opytimizer.optimizers.swarm.goa¶
Grasshopper Optimization Algorithm.
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class
opytimizer.optimizers.swarm.goa.
GOA
(params: Optional[Dict[str, Any]] = None)¶ A GOA class, inherited from Optimizer.
This is the designed class to define GOA-related variables and methods.
References
S. Saremi, S. Mirjalili and A. Lewis. Grasshopper Optimisation Algorithm: Theory and application. Advances in Engineering Software (2017).
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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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c_min
¶ Minimum comfort zone.
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c_max
¶ Maximum comfort zone.
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f
¶ Intensity of attraction.
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l
¶ Attractive length scale.
Calculates the social force based on an input value.
Parameters: r – Array of values. Returns: The social force based on the input value. Return type: (np.ndarray)
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update
(space: opytimizer.core.space.Space, function: opytimizer.core.function.Function, iteration: int, n_iterations: int) → None¶ Wraps Grasshopper 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.
- iteration – Current iteration.
- n_iterations – Maximum number of iterations.
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