niching: Niche-Preservation Operation

In benitezfj/rmoo: Multi-Objective Optimization in R

Niche-Preservation Operation

Description

Generation of niche, by associating reference points to population members

Usage

niching(pop, n_remaining, niche_count, niche_of_individuals, dist_to_niche)

Arguments

pop	Last Front Population
n_remaining	Number of points to choose
niche_count	Niche count of individuals with the reference point
niche_of_individuals	Count of the closest reference point to the last front objective values
dist_to_niche	Distance between closest reference point to last front objective values

Details

Niching procesure is a algorithms proposed by K. Deb and H. Jain in 2013.

Value

Returns the association of reference points to each individual in the population.

Author(s)

Francisco Benitez [e-mail]

References

K. Deb and H. Jain, 'An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point-Based Nondominated Sorting Approach, Part I: Solving Problems With Box Constraints,' in IEEE Transactions on Evolutionary Computation, vol. 18, no. 4, pp. 577-601, Aug. 2014, doi: 10.1109/TEVC.2013.2281535.

Scrucca, L. (2017) On some extensions to 'GA' package: hybrid optimisation, parallelisation and islands evolution. The R Journal, 9/1, 187-206. doi: 10.32614/RJ-2017-008

Felix-Antoine Fortin, Francois-Michel De Rainville, Marc-André Gardner Gardner, Marc Parizeau, and Christian Gagne. 2012. DEAP: evolutionary algorithms made easy. J. Mach. Learn. Res. 13, 1 (January 2012), 2171–2175.

See Also

associate_to_niches(), PerformScalarizing()

benitezfj/rmoo documentation built on July 16, 2025, 11:07 p.m.