PSO-based clustering techniques to solve multimodal optimization problems: A survey

Clustering is a popular machine learning technique used to segregate the number of objects into different classes. Locating multiple peaks of a multimodal problem is a challenging task. In this regard, clustering is considered to be the best technique that divides the population into a number of clusters. In literature, a number of clustering techniques have been suggested with the particle swarm optimization (PSO) algorithm. Among different clustering techniques, partition-based clustering is widely used with the PSO to solve multimodal optimization problems. This paper provides a brief survey of clustering-based PSO techniques for solving multimodal optimization problems. Open problems have been discussed at the end of the paper as well.