recCrossover

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.

Framework for building evolutionary algorithms for both single- and multi-objective continuous or discrete optimization problems. A set of predefined evolutionary building blocks and operators is included. Moreover, the user can easily set up custom objective functions, operators, building blocks and representations sticking to few conventions. The package allows both a black-box approach for standard tasks (plug-and-play style) and a much more flexible white-box approach where the evolutionary cycle is written by hand.

Jakob Bossek

Evolutionary Computation in R

Michael H. Buselli

Wessel Dankers

Carlos M. Fonseca

Manuel Lopez-Ibanez

Luis Paquete

Joshua Knowles

Eckart Zitzler

Olaf Mersmann

recCrossover function

<dl><dt>inds</dt>
<dd>[<code>list</code>] 
Parents, i.e., list of exactly two numeric or binary vectors of equal length.</dd></dl>

Arguments

One-point crossover recombinator. — recCrossover

<dl>

<dt>inds</dt>
<dd>[<code>list</code>] 
Parents, i.e., list of exactly two numeric or binary vectors of equal length.</dd>

</dl>

recCrossover: One-point crossover recombinator.

Description

Usage

Value

Arguments

See Also