opytimizer.optimizers.boolean.bpso¶
Boolean Particle Swarm Optimization.
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class
opytimizer.optimizers.boolean.bpso.
BPSO
(params: Optional[Dict[str, Any]] = None)¶ A BPSO class, inherited from Optimizer.
This is the designed class to define boolean PSO-related variables and methods.
References
F. Afshinmanesh, A. Marandi and A. Rahimi-Kian. A Novel Binary Particle Swarm Optimization Method Using Artificial Immune System. IEEE International Conference on Smart Technologies (2005).
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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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c1
¶ Cognitive constant.
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c2
¶ Social constant.
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local_position
¶ Array of local positions.
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velocity
¶ Array of velocities.
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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 Boolean Particle Swarm Optimization over all agents and variables.
Parameters: space – Space containing agents and update-related information.
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