A cautious PSO with conditional random
Particle swarm optimization (PSO) can be used to solve optimization problems. Few PSO algorithms employ conditional random to correct the searching direction. This study uses a cautious PSO with a conditional random to allow the adjustment. This prevents premature convergence and improves the search performance. Our results show this method is accurate and converges faster than a standard PSO.
conditional random particle swarm optimization