A new method for improving particle swarm optimization algorithm (TriPSO)

In this paper, we introduced some modifications in the standard particles swarm optimization algorithm to get better results. We modified the velocity equation by inserting triangular functions (cosine and sine), increasing inertia weight and introducing a new method to avoid the stagnation problem. The modified algorithm named as Triangular Particle Swarm Optimization (TriPSO) was tested by five well-known benchmark functions (Sphere, Ackley, Rastrigin, Rosenbrock and Schwefel p2.26). The obtained results are compared with those of standard PSO and different published improved PSO algorithms (SPSO, PSO-XD, CPSO-S and PSO-P5), the comparison showed that TriPSO has the best results.