NBI: NBI Main Function

In Diversity-ParetoOptimal/ParetoR: Estimates Pareto-Optimal solution for diversity hiring

NBI Main Function

Description

Main function for obtaining pareto-optimal solution via normal boundary intersection.

Usage

NBI(
  X0,
  Spac,
  Fnum,
  VLB = vector(),
  VUB = vector(),
  TolX = 1e-04,
  TolF = 1e-04,
  TolCon = 1e-07,
  graph = TRUE,
  display_solution = TRUE
)

Arguments

X0	Initial input for preditor weight vector
Spac	Number of Pareto spaces (i.e., number of Pareto points minus one)
Fnum	Number of criterions
VLB	Lower boundary for weight vector estimation
VUB	Upper boundary for weight vector estimation
TolX	Tolerance index for estimating weight vector, default is 1e-4
TolF	Tolerance index for estimating criterion, default is 1e-4
TolCon	Tolerance index for constraint conditions, default is 1e-7
graph	If TRUE, plots will be generated for Pareto-optimal curve and predictor weights
display_solution	If TRUE, Pareto-optimal solution will be displayed

Value

Pareto-Optimal solutions

Diversity-ParetoOptimal/ParetoR documentation built on May 8, 2024, 12:08 a.m.