nsgaMonitor: Monitor non-dominated genetic algorithm evolution

In rmoo: Multi-Objective Optimization in R

Monitor non-dominated genetic algorithm evolution

Description

Functions to plotting fitness values at each iteration of a search for the 'rmoo' package.

Usage

  nsgaMonitor(object, number_objectives, ...)

Arguments

object	an object of class nsga, nsga2 or nsga3, usually resulting from a call to function nsga, nsga2 or nsga3, respectively.
number_objectives	numbers of objective values of the function to evaluate.
...	further arguments passed to or from other methods.

Value

These functions plot the fitness values of the current step of the nsga3 on the console.
By default, nsgaMonitor is called in interactive sessions by nsga, nsga2, or nsga3.
The function can be modified by the user to plot or print the values it considers by iteration.

Author(s)

Francisco Benitez

References

Scrucca, L. (2017) On some extensions to 'GA' package: hybrid optimisation, parallelisation and islands evolution. The R Journal, 9/1, 187-206, doi: 10.32614/RJ-2017-008.

See Also

nsga(), nsga2() and nsga3()

rmoo documentation built on Sept. 24, 2022, 9:05 a.m.