… in optimization problems. More importantly, this review paper focuses on PSO-based … To
the best of the authors’ knowledge, there has been no publication on a comprehensive survey …

… In summary, how to design an effective PSO-based clustering technique is still an … Chen
CY, Fun Y (2012) Particle swarm optimization algorithm and its application to clustering analysis. …

… is widely used in cluster analysis. However, it is a stochastic technique that is vulnerable to
… This study presents a novel approach for data clustering based on particle swarms. In this …

… In this work, the SI-based algorithms for hard (crisp) clustering are … groups: particle swarm
optimization, ant colony optimization, ant-based sorting, hybrid algorithms, and other SI-based …

… In this paper, we confine ourselves to the application of particle swarm optimization (PSO)
to clustering. Similar to other SI methods, PSO is inspired by a phenomenon that occurs in …

… particle swarm optimization can be used in cluster analysis. This paper presents a review of
particle swarm optimization based … It starts with the introduction of clustering steps and PSO …

… The canonical particle swarm optimizer is based … algorithm for clustering analysis over a
number of benchmark datasets and obtained improved performance in terms of good clustering …

… social swarms in nature. One of the most popular SI paradigms, the Particle Swarm Optimization
algorithm (… of various parameters and aspects of the algorithm. Various perspectives are …

… particle swarm optimization with sparse representation In this section, we proposed a new
method to control the DPSO algorithm based on [48], … The proposed algorithm focuses on the …

… (2016) presented a novel particle swarm optimization algorithm named as self-regulating
particle swarm optimization (SRPSO) algorithm which introduced the best human learning …