Particle Swarm Optimization- A Review on Algorithmic Rule, Application and Scope

Dr. G. M. Nasira, S. Radhimeenakshi

Abstract: Particle swarm optimization is a population-based, meta-heuristic optimization technique based on intelligence of swarm. The research on flock of birds or fish has been the motivation for this algorithm. Since this algorithm is easy to implement and requires few particles for tuning, this has been used widely nowadays. The main idea of this paper is to present the principle of PSO, improved PSO and research situation and the scope of future research.

Keywords: Classification, Particle swarm optimization PSO, Meta-heuristic, Swarm Intelligence, Population Based Algorithm PBA

How to Cite?: Dr. G. M. Nasira, S. Radhimeenakshi, "Particle Swarm Optimization- A Review on Algorithmic Rule, Application and Scope", Volume 3 Issue 8, August 2014, International Journal of Science and Research (IJSR), Pages: 1720-1722, https://www.ijsr.net/getabstract.php?paperid=2015738, DOI: https://dx.doi.org/10.21275/2015738