GetLeastContributor: Get least HV contributor

In dots26/MaOEA: Many Objective Evolutionary Algorithm

Get least HV contributor

Description

Get index of the individual with least hypervolume (HV) contribution. For the contribution itself, use GetLeastContribution()

Usage

GetLeastContributor(
  populationObjective,
  reference = NULL,
  method = "exact",
  hypervolumeMethodParam = list(),
  ref_multiplier = 1.1
)

Arguments

populationObjective	The objective value of the corresponding individual
reference	The reference point for computing HV
method	the HV computation method
hypervolumeMethodParam	A list of parameters to be passed to the hypervolumeMethod
ref_multiplier	Multiplier to the nadir point for dynamic reference point location

Value

The index of the least contributor, an integer.

Examples

nObjective <- 5 # the number of objectives
nPoint <- 10 # the number of points that will form the hypervolume
objective <- matrix(stats::runif(nObjective*nPoint), nrow = nObjective, ncol = nPoint)
# run a generation of MO-CMA-ES with standard WFG8 test function.
numpyready <- reticulate::py_module_available('numpy')
pygmoready <- reticulate::py_module_available('pygmo')
py_module_ready <- numpyready && pygmoready
if(py_module_ready) # prevent error on testing the example
GetHypervolume(objective,,"exact") # no reference supplied

reference <- rep(2,nObjective) # create a reference point at (2,2,2,2,2)
if(py_module_ready) # prevent error on testing the example
GetLeastContributor(objective,reference,"exact")

dots26/MaOEA documentation built on Jan. 26, 2023, 4:34 a.m.