niching {rmoo} | R Documentation |
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 benitezfj94@gmail.com
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()