Question

Estimation of model parameters using composite particle swarm optimization

Answer 1

Estimation of nonlinear model parameters in chemical engineering is a tough searching problem. Unfortunately, the traditional approaches easily get stuck in a local minimum. Considering that the particle swarm optimization (PSO) algorithm is quite simple and easy to implement, it was used to estimate the nonlinear model parameters in this paper. However, PSO needs several particular control parameters, such as inertia weight and acceleration constants, which are usually problem dependent and affect the PSO performance …