performance_metrics: Objective Values performance metrics

In Evolutionary-Optimization-Laboratory/rmoo: Multi-Objective Optimization in R

Objective Values performance metrics

Description

Functions to evaluate the quality of the results obtained by the algorithms, evaluating their diversity and convergence, providing or not some parameters to compare.

Usage

  generational_distance(front, true_pareto_front, p, inverted, plus)

Arguments

front	a N×M matrix where N is the number of points and M is the number of objectives.
true_pareto_front	a N×M matrix where N is the number of points and M is the number of objectives.
p	is the power in which the normalized distance is calculated.
inverted	if TRUE then computes IGD.
plus	if TRUE then computes the GD+.

Value

A vector with the measurement metric.

Author(s)

Francisco Benitez

References

Lamont, G., & Veldhuizen, D.V. (1999). Multiobjective evolutionary algorithms: classifications, analyses, and new innovations.

Evolutionary-Optimization-Laboratory/rmoo documentation built on Oct. 28, 2024, 5:45 p.m.