Genetic Algorithm Based Clustering Optimization A Survey

Genetic algorithm has an important role in improving clustering methods. When it comes to getting into a dataset, one of the most common methods used is clustering. Recent years have seen rise number articles interested clustering, which may be attributed development various new fields application. Most method's performance depends on initial values parameters or preprocessing so needs optimize. The improvement two directions, either we improve input data. Ga evolutionary technique well-known optimization. This survey deals with that use genetic choose parameter and study shows many metrics get optimal result each research.