Integration of Taguchi´s Method and Particle Swarm Optimization for Electromagnetic Global Optimization

In this study, four optimization techniques, Taguchi´s method [1], classical particle swarm optimization (PSO) [2], OA-PSO, and PSO-Taguchi´s method, are investigated for performance comparison. To compare the performance of different approaches, test functions and a ten-element, unequally-spaced linear array are used as examples. Since random values are used in PSO-based approaches, 200 independent runs are conducted in each approach for statistical analysis. Numerical results and statistical analysis show that Taguchi´s method can reach the global optimum quicker than other approaches; OA-PSO is more robust than classical PSO.