Paper "Effects of Archive Size on Computation Time and Solution Quality for Multi-Objective Optimization"
Here the explanation of the important files are listed:
generateData.m: run NSGA-II, MOEA/D-PBI and NSGA-III on DTLZ1-4 and their minus versions, and save offspring and population.
LazyHVSelection.m: lazy greedy inclusion hypervolume subset selection (LGI-HSS)
DSS.m: greedy distance-based inclusion
CDR.m: greedy crowding distance-based removal
NDSort.m: T-ENS is used to remove dominated solutions in the archive
ArchiveStrategy.m: contain various archiving strategies mentioned in the paper
ParArcExp.m: maintain the archive using various strategies and output the final archive
ParFinalSelection.m: select the final solution set from the final archive
ParDRSRemove.m: remove some of DRSs in the final archive and select the final solution set from it