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PFIM (version 6.0.3)

PGBOAlgorithm-class: Class "PGBOAlgorithm"

Description

The class "PGBOAlgorithm" implements the PGBO algorithm: Population Genetics Based Optimizer, developed by Hervé Le Nagard [1].

Arguments

Objects from the Class <code>PGBOAlgorithm</code>

Objects form the Class PGBOAlgorithm can be created by calls of the form PGBOAlgorithm(...) where (...) are the parameters for the PGBOAlgorithm objects.

Slots for <code>PGBOAlgorithm</code> objects

N:

A numeric giving the population size.

muteEffect:

A numeric giving the mutation effect.

maxIteration:

A numeric giving the maximum number of iterations.

seed:

A numeric giving the seed.

showProcess:

A boolean to show or not the process.

optimalDesign:

A Design object giving the optimal design.

iterationAndCriteria:

A list giving the optimal criteria at each iteration.

References

[1] Rebecca Bauer, France Mentré, Halima Kaddouri, Jacques Le Bras, Hervé Le Nagard, Benefits of a new Metropolis-Hasting based algorithm, in non-linear regression for estimation of ex vivo antimalarial sensitivity in patients infected with two strains, Computers in Biology and Medicine, Volume 55, 2014, Pages 16-25, ISSN 0010-4825