ga.mutation

Mutate a binary population by flipping bits with probability pmut.

Automated population pharmacokinetic modeling framework for
data-driven initialisation, model evaluation, and metaheuristic
optimization. Supports genetic algorithms, ant colony optimization,
tabu search, and stepwise procedures for automated model selection
and parameter estimation within the nlmixr2 ecosystem.

Zhonghui Huang

nlmixr2auto

Automated Population Pharmacokinetic Modeling

Joseph Standing

Matthew Fidler

Frank Kloprogge

ga.mutation function

<dl><dt>children.cross</dt>
<dd>Numeric matrix containing the child population. Rows are
individuals and columns are bits. Values are expected to be 0/1.</dd>
<dt>pmut</dt>
<dd>Single numeric value in \([0, 1]\) giving the per-bit mutation probability.</dd></dl>

Arguments

Author

Mutation operator for binary genetic algorithms — ga.mutation

<dl>

<dt>children.cross</dt>
<dd>Numeric matrix containing the child population. Rows are
individuals and columns are bits. Values are expected to be 0/1.</dd>


<dt>pmut</dt>
<dd>Single numeric value in \([0, 1]\) giving the per-bit mutation probability.</dd>

</dl>

ga.mutation: Mutation operator for binary genetic algorithms

Description

Usage

Value

Arguments

Author

Details

Examples