On Particle Swarm Optimization Algorithm

Abstract

The swarm particle optimization algorithm is among the most important tools in finding the optimal solution to nonlinear optimization problems. The main goal of this research is an expanded study by developing an effective algorithm to find the optimal solution based on the speed of convergence. The study also included comparing the results with an algorithm with the same orientation. The results showed the superiority of the developed algorithm based on the results obtained