PGBOAlgorithm-class {PFIM}

Class "PGBOAlgorithm"

Description

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

Objects from the Class PGBOAlgorithm

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

Slots for PGBOAlgorithm 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