metaheuristic_designer.encodings.special.PSO_encoding module

Encoding for Particle Swarm optimization that appends a velocity vector to the genotype.

class PSOEncoding(dimension, base_encoding=None)

Bases: ParameterExtendingEncoding

Encoding for Particle Swarm optimization that stores a velocity vector.

The genotype is split into the solution vector and a velocity vector of the same dimension. Both are used by the PSO operator.

Parameters:

dimensionint

Number of decision variables.

base_encodingEncoding, optional

Encoding applied to the solution part. Defaults to DefaultEncoding.

Attributes:

params

Access parameter values by attribute-style lookup.

Parameters:

• dimension (int)

• base_encoding (Optional[Encoding])

Methods

decode(population_matrix)	Decodes a population matrix into a list/array of solutions.
decode_params(genotype[, copy])	Extract the auxiliary parameter blocks from a genotype matrix.
encode(solution[, params])	Encodes a list of solutions to our problem to an population matrix.
encode_params(param_dict)	Stack a dictionary of parameter arrays into a single matrix.
extract_params(population_matrix)	Return only the auxiliary-parameter part of the genotype matrix.
extract_solution(population_matrix)	Return only the solution part of the genotype matrix.
gather_params()	Overridable thin wrapper around get_params
get_params()	Return a copy of the current parameter dictionary.
store_kwargs([progress])	Store keyword arguments and evaluate them at the given progress.
update(progress)	Re-evaluate all stored parameters at the current progress.
update_kwargs([progress])	Add or replace parameters and immediately evaluate them.

get_state