Improving the wave iterative method by metaheuristic algorithms

Among the metaheuristic algorithms used in optimization problems, we have the simulated annealing and taboo search methods which are very simple and efficient algorithms. These algorithms are historically important, they are easy to implement, and they have interesting convergence properties. In this paper, we propose to use these techniques to improve convergence in the wave iterative method in order to study planar microwave circuits. The objective is to reduce the number of iterations required to obtain the convergence point with good accuracy and minimum execution time, so that we improve the convergence to the best and optimal results.