opytimizer.optimizers.swarm.csa¶
Crow Search Algorithm.
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class
opytimizer.optimizers.swarm.csa.
CSA
(params: Optional[Dict[str, Any]] = None)¶ A CSA class, inherited from Optimizer.
This is the designed class to define CSA-related variables and methods.
References
A. Askarzadeh. A novel metaheuristic method for solving constrained engineering optimization problems: Crow search algorithm. Computers & Structures (2016).
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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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fl
¶ Flight length.
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AP
¶ Awareness probability.
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memory
¶ Array of memories.
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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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evaluate
(space: opytimizer.core.space.Space, function: opytimizer.core.function.Function) → None¶ Evaluates the search space according to the objective function.
Parameters: - space – A Space object that will be evaluated.
- function – A Function object that will be used as the objective function.
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update
(space: opytimizer.core.space.Space) → None¶ Wraps Crow Search Algorithm over all agents and variables.
Parameters: space – Space containing agents and update-related information.
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