pg.evolution.recombinators.Uniform

Accessible via pg.evolution.recombinators.Uniform.

class Uniform(where=All(), seed=None)[source]

Bases: pg.evolution.recombinators.PointWise

Uniform crossover (UX) with equal probability.

The uniform recombinator makes decision at each position on whether the two parents’ DNA should be swapped or not. It produces 2 children.

Reference:

G. Syswerda. 1989. Uniform crossover in genetic algorithms. In Proceedings of the 3rd International Conference on Genetic Algorithms. Morgan Kaufman, 2–9.

https://ci.nii.ac.jp/naid/10000012509/

Methods:

merge(decision_point, parent_decisions)

Implementation of point-wise decision making.
merge(decision_point, parent_decisions)[source]

Implementation of point-wise decision making.

Return type:

Union[int, List[int], float]

Parameters:

  • decision_point – Decision point for recombination.

  • parent_decisions – A list of parent’s decisions. Each item should be an int as an active single-choice decision, a list of int as active multi- choice decisions, a float as an active float decision, or None for inactive decision point (whose parent space is not chosen).

  • global_state – An optional keyword argument as the global state. Subclass can omit.

  • step – An optional keyword argument as the current step. Subclass can omit.

Returns:

An int, list of int or float as the decision made for the decision point.