An improved particle swarm optimization for pre-denoise at the exhaust pipeline design stage

Optimization pre-denoise at the exhaust pipeline design stage based on an improved particle swarm optimization (IPSO) is presented in this paper. Particle swarm optimization (PSO) is easily understood and realized, and used as a problem-solving method to many complex engineering problems. Cloud model is used to standard PSO to improve the global search ability and make the convergence faster. In the IPSO, cloud model is used to initialize the particle swarm and update the velocity equation. Inertia weight nonlinearly decreases with iteration time process in the improved velocity equation. The improved particle swarm optimization is applied to pre-denoise by optimizing at the exhaust pipeline design stage. The calculated results show that IPSO outperforms standard PSO in solving the pre-noise problem.