Combining advantages of new chromosome representation scheme and multi-objective genetic algorithms for better clustering
Emin Erkan Korkmaz, Jun Juan Du, Reda Alhajj, Ken E. Barker · Intelligent Data Analysis · 2006
Various methods have been proposed to utilize Genetic Algorithms (GA) in handling the clustering problem. GA work on encoded strings, namely chromosomes, and the representation of different clusters as a linear structure is an important issue about t