nsga3-class: Class 'nsga3'

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

Class 'nsga3'

Description

The class 'nsga3' is instantiated within the execution of rmoo and will be returned as a result of it. All data generated during execution will be stored in it.

Slots

ideal_point

Nadir point estimate used as lower bound in normalization.

worst_point

Worst point generated over generations.

smin

Index used to obtain the extreme points.

extreme_points

are selected using the ASF in the (PerformScalarizing()). Necessary in the nadir point generation.

worst_of_population

The worst individuals generated by objectives in the current generation.

worst_of_front

The worst individuals in the first front generated by objectives in the current generation.

nadir_point

Nadir point estimate used as upper bound in normalization.

reference_points

NSGA-III uses a predefined set of reference points to ensure diversity in obtained solutions. The chosen refenrece points can be predefined in structured manner or supplied by the user. We use the Das and Dennis procedure.

Examples

showClass('nsga3')

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