modifiedCrowdingDistance: Calculation of Modified Crowding Distance

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

Calculation of Modified Crowding Distance

Description

A Crowded-comparison approach.

Usage

modifiedCrowdingDistance(
  object,
  epsilon,
  weights = NULL,
  normalization = "front",
  extreme_points_as_ref_dirs = FALSE
)

Arguments

object	An object of class 'rnsga2', usually resulting from a call to function r-nsga2. Fitness Function Objective Numbers
extreme_points_as_ref_dirs

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

Kalyanmoy Deb and J. Sundar. 2006. Reference point based multi-objective optimization using evolutionary algorithms. In Proceedings of the 8th annual conference on Genetic and evolutionary computation (GECCO '06). Association for Computing Machinery, New York, NY, USA, 635–642. doi: 10.1145/1143997.1144112

See Also

rnsga2()

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