Table of Contents
Journal of Computational Engineering
Volume 2013, Article ID 942126, 8 pages
http://dx.doi.org/10.1155/2013/942126
Research Article

An Ant Colony Optimization Algorithm for Microwave Corrugated Filters Design

1Instituto ITACA, Universidad Politécnica de Valencia, Camino de Vera S/N, Edificio 8G, Acceso B, Planta 3, 46022 Valencia, Spain
2Departamento de Tecnologías de la Información y las Comunicaciones, Universidad Politécnica de Cartagena, Cartagena, Plaza del Hospital 1, 30202 Cartagena, Spain

Received 29 April 2013; Accepted 5 June 2013

Academic Editor: André Nicolet

Copyright © 2013 Ivan A. Mantilla-Gaviria et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

A practical and useful application of the Ant Colony Optimization (ACO) method for microwave corrugated filter design is shown. The classical, general purpose ACO method is adapted to deal with the microwave filter design problem. The design strategy used in this paper is an iterative procedure based on the use of an optimization method along with an electromagnetic simulator. The designs of high-pass and band-pass microwave rectangular waveguide filters working in the C-band and X-band, respectively, for communication applications, are shown. The average convergence performance of the ACO method is characterized by means of Monte Carlo simulations and compared with that obtained with the well-known Genetic Algorithm (GA). The overall performance, for the simulations presented herein, of the ACO is found to be better than that of the GA.