setupSBXRecombinator

[<code>numeric(1)</code>]
Parameter eta, i.e., the distance parameters of the crossover distribution.

[<code>numeric(1)</code>]
Crossover probability for each gene. Default is <code>1.0</code>.


The Simulated Binary Crossover was first proposed by [1]. It i suited for
float representation only and creates two offspring. Given parents $p_1, p_2$
the offspring are generated as $c_{1/2} = \bar{x} \pm \frac{1}{2}\beta(p_2 - p_1)$
where $\bar{x} = \frac{1}{2}(p_1 + p_2), p_2 > p_1$. This way $\bar{c} = \bar{x}$
is assured.


Provides a powerful framework for evolutionary
computing in R. The user can easily construct powerful evolutionary algorithms
for tackling both single- and multi-objective problems by plugging in different
predefined evolutionary building blocks, e. g., operators for mutation,
recombination and selection with just a few lines of code. Your problem
cannot be easily solved with a standard EA which works on real-valued vectors,
permutations or binary strings? No problem, 'ecr' has been developed with that in
mind. Extending the framework with own operators is also possible. Additionally
there are various comfort functions, like monitoring, logging and more.

setupSBXRecombinator: Generator of the Simulated Binary Crossover (SBX) recombinator.

Description

Usage

Arguments

Value

References

See Also