gaintegerMutation

Applies mutation to a selected parent vector by replacing each gene with a random value
(within bounds) with a given mutation probability. Used in integer-encoded GAs.

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

gaintegerMutation function

<dl><dt>object</dt>
<dd>A GA object containing at least the slots <code>@population</code>,
<code>@upper</code>, <code>@lower</code>, and <code>@pmutation</code>.</dd>
<dt>parent</dt>
<dd>An integer index indicating which individual in the population to mutate.</dd>
<dt>...</dt>
<dd>Further arguments (unused, included for compatibility).</dd></dl>

Arguments

Integer mutation operator for genetic algorithms — gaintegerMutation

<dl>

<dt>object</dt>
<dd>A GA object containing at least the slots <code>@population</code>,
<code>@upper</code>, <code>@lower</code>, and <code>@pmutation</code>.</dd>


<dt>parent</dt>
<dd>An integer index indicating which individual in the population to mutate.</dd>


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

</dl>

gaintegerMutation: Integer mutation operator for genetic algorithms

Description

Usage

Value

Arguments