PSOAlgorithm-class

PSOAlgorithm

The Class "PSOAlgorithm" implements the PSO algortihm : Particle Swarm Optimization

Evaluate or optimize designs for nonlinear mixed effects models using the Fisher Information matrix. Methods used in the package refer to
Mentré F, Mallet A, Baccar D (1997) <doi:10.1093/biomet/84.2.429>,
Retout S, Comets E, Samson A, Mentré F (2007) <doi:10.1002/sim.2910>,
Bazzoli C, Retout S, Mentré F (2009) <doi:10.1002/sim.3573>,
Le Nagard H, Chao L, Tenaillon O (2011) <doi:10.1186/1471-2148-11-326>,
Combes FP, Retout S, Frey N, Mentré F (2013) <doi:10.1007/s11095-013-1079-3> and
Seurat J, Tang Y, Mentré F, Nguyen TT (2021) <doi:10.1016/j.cmpb.2021.106126>.

Romain Leroux

PFIM

Population Fisher Information Matrix

France Mentré

Hervé Le Nagard

Jérémy Seurat

Tran Bach Nguyen

Caroline Bazzoli

Emmanuelle Comets

Anne Dubois

Cyrielle Dumont

Giulia Lestini

Thi Huyen Tram Nguyen

Thu Thuy Nguyen

Sylvie Retout

PSOAlgorithm-class function

Objects form the xlass <code>PSOAlgorithm</code> can be created by calls of the form <code>PSOAlgorithm(...)</code> where
(...) are the parameters for the <code>PSOAlgorithm</code> objects.

Objects from the class <code>PSOAlgorithm</code>

<dl>
 <dt><code>maxIteration</code>:</dt>
<dd>A numeric giving the maximum of iterations.</dd> <dt><code>populationSize</code>:</dt>
<dd>A numeric giving the mpopulation size.</dd> <dt><code>intertiaWeight</code>:</dt>
<dd>A numeric giving the inertial weight.</dd> <dt><code>personalLearningCoefficient</code>:</dt>
<dd>A numeric giving the personal learning coefficient.</dd> <dt><code>globalLearningCoefficient</code>:</dt>
<dd>A numeric giving the global learning coefficient.</dd> <dt><code>resultsPSO</code>:</dt>
<dd>A list giving the iteration and the results when a new best criteria is found.</dd> 
</dl>

Slots for <code>PSOAlgorithm</code> objects

Class "PSOAlgorithm" — PSOAlgorithm-class

Objects form the xlass <code>PSOAlgorithm</code> can be created by calls of the form <code>PSOAlgorithm(...)</code> where
(...) are the parameters for the <code>PSOAlgorithm</code> objects.

<dl>
 <dt><code>maxIteration</code>:</dt>
<dd>A numeric giving the maximum of iterations.</dd>

 <dt><code>populationSize</code>:</dt>
<dd>A numeric giving the mpopulation size.</dd>

 <dt><code>intertiaWeight</code>:</dt>
<dd>A numeric giving the inertial weight.</dd>

 <dt><code>personalLearningCoefficient</code>:</dt>
<dd>A numeric giving the personal learning coefficient.</dd>

 <dt><code>globalLearningCoefficient</code>:</dt>
<dd>A numeric giving the global learning coefficient.</dd>

 <dt><code>resultsPSO</code>:</dt>
<dd>A list giving the iteration and the results when a new best criteria is found.</dd>

 
</dl>

PSOAlgorithm-class: Class "PSOAlgorithm"

Description

Arguments

Objects from the class <code>PSOAlgorithm</code>

Slots for <code>PSOAlgorithm</code> objects