PSOAlgorithm: PSOAlgorithm

Description

The class PSOAlgorithm implements the PSO algorithm.

Usage

PSOAlgorithm(
  name = character(0),
  modelEquations = list(),
  modelFromLibrary = list(),
  modelParameters = list(),
  modelError = list(),
  optimizer = character(0),
  optimizerParameters = list(),
  outputs = list(),
  designs = list(),
  fimType = character(0),
  fim = Fim(),
  odeSolverParameters = list(),
  optimisationDesign = list(),
  optimisationAlgorithmOutputs = list(),
  maxIteration = numeric(0),
  populationSize = numeric(0),
  seed = numeric(0),
  personalLearningCoefficient = numeric(0),
  globalLearningCoefficient = numeric(0),
  showProcess = FALSE
)

Arguments

name: A string giving the name of the design evaluation.
modelEquations: A list giving the model equations.
modelFromLibrary: A list giving the model equations from the library of model.
modelParameters: A list giving the model parameters.
modelError: A list giving the model error.
optimizer: A string giving the name of the optimization algorithm being used.
optimizerParameters: A list giving the parameters of the optimization algorithm.
outputs: A list giving the model outputs.
designs: A list giving the designs to be evaluated.
fimType: A string giving the type of Fim being evaluated.
fim: A object Fim giving the Fim.
odeSolverParameters: A list giving the atol and rtol parameters for the ode solver.
optimisationDesign: A list giving the evaluation of initial and optimal design.
optimisationAlgorithmOutputs: A list giving the outputs of the optimization process.
maxIteration: A numeric giving the maxIteration.
populationSize: A numeric giving the populationSize.
seed: A numeric giving the seed.
personalLearningCoefficient: A numeric giving the personalLearningCoefficient.
globalLearningCoefficient: A numeric giving the globalLearningCoefficient.
showProcess: A Boolean giving the showProcess.