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TYPE_CHECKINGN)experimental_class)
BaseCrossover)Studyz3.0.0c N e Zd ZdZdZ d ddZ ddZy) SBXCrossoveru. Simulated Binary Crossover operation used by :class:`~optuna.samplers.NSGAIISampler`.
Generates a child from two parent individuals
according to the polynomial probability distribution.
In the paper, SBX has only one argument, ``eta``,
and generate two child individuals.
However, Optuna can only return one child individual in one crossover operation,
so it uses the ``uniform_crossover_prob`` and ``use_child_gene_prob`` arguments
to make two individuals into one.
- `Deb, K. and R. Agrawal.
“Simulated Binary Crossover for Continuous Search Space.”
Complex Syst. 9 (1995): n. pag.
`__
Args:
eta:
Distribution index. A small value of ``eta`` allows distant solutions
to be selected as children solutions. If not specified, takes default
value of ``2`` for single objective functions and ``20`` for multi objective.
uniform_crossover_prob:
``uniform_crossover_prob`` is the probability of uniform crossover
between two individuals selected as candidate child individuals.
This argument is whether or not two individuals are
crossover to make one child individual.
If the ``uniform_crossover_prob`` exceeds 0.5,
the result is equivalent to ``1-uniform_crossover_prob``,
because it returns one of the two individuals of the crossover result.
If not specified, takes default value of ``0.5``.
The range of values is ``[0.0, 1.0]``.
use_child_gene_prob:
``use_child_gene_prob`` is the probability of using the value of the generated
child variable rather than the value of the parent.
This probability is applied to each variable individually.
where ``1-use_chile_gene_prob`` is the probability of
using the parent's values as it is.
If not specified, takes default value of ``0.5``.
The range of values is ``(0.0, 1.0]``.
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