MUCPSO: A MODIFIED CHAOTIC PARTICLE SWARM OPTIMIZATION WITH UNIFORM INITIALIZATION FOR OPTIMIZING SOFTWARE EFFORT ESTIMATION

Particle Swarm Optimization is a metaheuristic optimization algorithm widely used across a broad range of applications.The algorithm has certain primary advantages such as its ease of implementation, high convergence accuracy, and fast convergence speed.Nevertheless, since its origin in u11-200ps 1995, Particle swarm optimization still suffers from