summary-methods: Methods for Function 'summary' in Package 'rmoo'

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

Methods for Function 'summary' in Package 'rmoo'

Description

Method used to summarize the results of the evaluations, passing additional arguments in the summary method the performance metrics is evaluated.

Usage

summary(object, ...)

## S4 method for signature 'nsga'
summary(object, ...)

## S4 method for signature 'nsga1'
summary(object, ...)

## S4 method for signature 'nsga2'
summary(object, ...)

## S4 method for signature 'nsga3'
summary(object, ...)

Arguments

object	Objects of either class nsga1, nsga2, or nsga3.
...	other arguments passed on to methods. Passing "reference_dirs" as arguments will evaluate the performance metrics Hypervolumen, Generational Distance, and Inverse Generational Distance.

Value

A summary of the values resulting from the execution of an algorithm.

Author(s)

Francisco Benitez [e-mail]

Examples

# Where 'out' is an object of class nsga1, nsga2, or nsga3
#
# summary(out)
#
# For the evaluation of the metrics, pass the reference point
#
# ref_points <- generate_reference_points(3,12)
# summary(out, reference_dirs = ref_points)

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