setupCrossoverRecombinator

[<code>numeric(1)</code>]
Cross over probability to form an offspring. Default is <code>1</code>.


The one-point crossover recombinator is defined for float and binary
representations. Given two real-valued/binary vectors of length n, the
selector samples a random position i between 1 and n-1. In the next step
it creates two children. The first part of the first child contains of the
subvector from position 1 to position i of the first parent, the second part
from position i+1 to n is taken from the second parent. The second child
is build analogously.
If the parents are list of real-valued/binary vectors, the procedure described
above is applied to each element of the list.


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.

setupCrossoverRecombinator: Generator of the one-point crossover recombination operator.

Description

Usage

Arguments

Value

See Also