nsga3-class: Class 'nsga3'
In rmoo: Multi-Objective Optimization in R

nsga3-class

R Documentation

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.