gaintegerOnePointCrossover

Performs one-point crossover on two parent individuals. A single crossover point is selected,
and all genes before (and including) that point are exchanged between the parents.

Identifies constant, additive, multiplicative, and user-defined
simplivariate components in numeric data matrices using a genetic algorithm.
Supports flexible pattern definitions and provides visualization for
general biclustering applications across diverse domains. The method builds
on simplivariate models as introduced in Hageman et al. (2008)
<doi:10.1371/journal.pone.0003259> and is related to biclustering
frameworks as reviewed by Madeira and Oliveira (2004) <doi:10.1109/TCBB.2004.2>.

Jos Hageman

SIMPLICA

Biclustering via Simplivariate Component Analysis

gaintegerOnePointCrossover function

<dl><dt>object</dt>
<dd>A GA object with a <code>@population</code> slot (a matrix).</dd>
<dt>parents</dt>
<dd>A 2-row matrix of values indexing the parents from the current population.</dd>
<dt>...</dt>
<dd>Further arguments (unused, included for compatibility).</dd></dl>

Arguments

One-point crossover operator for integer-encoded genetic algorithms — gaintegerOnePointCrossover

<dl>

<dt>object</dt>
<dd>A GA object with a <code>@population</code> slot (a matrix).</dd>


<dt>parents</dt>
<dd>A 2-row matrix of values indexing the parents from the current population.</dd>


<dt>...</dt>
<dd>Further arguments (unused, included for compatibility).</dd>

</dl>

gaintegerOnePointCrossover: One-point crossover operator for integer-encoded genetic algorithms

Description

Usage

Value

Arguments