… 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 …

… 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 …

… a summary of the great efforts that have added impetus and new directions to research in
particle swarms, … The strength of this study lies in its presentation of comprehensive challenges …

… Clustering analysis methods have been widely applied in … study, a hybrid of two
algorithms, particle swarm optimization (… limitations of the firefly algorithm, such as premature …

… intelligence is a kind of artificial intelligence that is based on the collective behavior of the …
on reviewing a heuristic global optimization method called particle swarm optimization (PSO). …

… Several SI algorithms have been designed based on the … colony optimization, particle
swarm optimization, cuckoo search, bat algorithm, firefly algorithm, bee’s algorithm, monkey-based…

… The proposed energy efficient particle swarm optimization based clustering algorithm was
simulated using the mat lab. The simulation parameters used in the algorithm is described in …

… , a particle swarm optimization-based energy efficient clustering … particle swarm optimization
technique to select the cluster … The cluster head is selected by employing the particle swarm …

… This paper aims to deliver a comprehensive and timely review of the PSO algorithms and
their applications. An up-to-date review of some PSO variants is also introduced. In this paper, …

… The Particle Swarm Optimisation (PSO) algorithm was inspired by the social and biological
… In this nature-based algorithm, individuals are referred to as particles and fly through the …