crowding_distance: Calculation of Crowding Distance

In rmoo: Multi-Objective Optimization in R

Calculation of Crowding Distance

Description

A Crowded-comparison approach.

Usage

crowding_distance(object, nObj)

Arguments

object, nObj

An object of class 'nsga2', usually resulting from a call to function nsga2. Fitness Function Objective Numbers

Details

The crowded-comparison operator guides the selection process at the various stages of the algorithm toward a uniformly spread-out Pareto-optimal front

Value

A vector with the crowding-distance between individuals of a population.

Author(s)

Francisco Benitez [e-mail]

References

K. Deb, A. Pratap, S. Agarwal and T. Meyarivan, 'A fast and elitist multiobjective genetic algorithm: NSGA-II,' in IEEE Transactions on Evolutionary Computation, vol. 6, no. 2, pp. 182-197, April 2002, doi: 10.1109/4235.996017.

See Also

non_dominated_fronts()

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