Enhanced leader particle swarm optimization for microwave matching networks
Ezgi Deniz Ülker, Sadık Ülker · 2017
Solving real case optimization problems by providing high solution quality is an interesting field of research. In this paper, a newly proposed optimization algorithm enhanced leader particle swarm optimization (ELPSO) is used for solving two different microwave matching network circuits. The experimental results are compared with standard particle swarm optimization (PSO) algorithm. The results indicated that the new approach ELPSO produces reliable performance and the optimum solutions are reached in less number of iterations compared to PSO. It can be concluded that ELPSO can be recommended as a good optimization algorithm in solving real case complex problems.