Particle Swarm Optimization an Alternative for Parameter Estimation in Regression

An Efficient Hybrid Algorithm with Particle Swarm Optimization and Nelder-Mead Algorithm for Parameter Estimation of Nonlinear Regression Modeling

“…There are several studies about the estimation of parameters in nonlinear regression models via different metaheuristic methods such as Artificial Bee Colony (ABC) [4], Differential Evolution (DE) [5], Genetic Algorithm (GA) [6][7][8][9], Particle Swarm Optimization (PSO) [10][11][12][13], etc. in the literature.…”