A Review of Particle Swarm Optimization

Abstract

Particle swam optimization (PSO) is a computational technique that streamlines a problem by attempting to improve the arrangement of an applicant with respect to a given value ratio iteratively. This approaches the problem by having a number of candidate solutions, and then pushes the particles in the search space according to a mathematical equation over the position and velocity of the particles. Researchers and specialists have provided various perspectives and studies on Particle Swam Optimization approaches and with the assistance of certain PSO approaches they have effectively answered numerous genuine questions. A summary of certain versions of PSO has been provided in this paper.