An ant colony optimization algorithm for microwave corrugated filters design

  1. Mantilla-Gaviria, Ivan A. 1
  2. Díaz-Morcillo, Alejandro 2
  3. Balbastre-Tejedor, Juan V. 1
  1. 1 Instituto ITACA, Universidad Politécnica de Valencia, Camino de Vera S/N, Edificio 8G, Acceso B, Planta 3, 46022 Valencia, Spain
  2. 2 Departamento de Tecnologías de la Información y las Comunicaciones, Universidad Politécnica de Cartagena, Cartagena, Plaza del Hospital 1, 30202 Cartagena, Spain
Revista:
Journal of Computational Engineering

ISSN: 2314-6443

Año de publicación: 2013

Volumen: 2013

Páginas: 1-8

Tipo: Artículo

DOI: 10.1155/2013/942126 GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: Journal of Computational Engineering

Resumen

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.

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Financiadores

  • Spanish Ministry of Education
    • AP2008-03300

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