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Bi-objective Memetic Evolutionary Algorithm for Automated Microwave Filter Synthesis

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5249))

Abstract

This paper presents a Memetic Evolutionary Algorithm for automated compact filter design using two-port building-blocks. In general, complex circuits are designed with suitably arranged two-port elements. The proposed representation scheme uses a proposed Positional Matrix, associating two-port building-blocks, their possible connections (cascade, serial, parallel or hybrid), and their parameters. The candidate designs are processed through suitable bidimensional evolutionary operators. The solutions are evolved using a bi-objective classification process, taking into account the performance evaluations, based on scattering parameters and size of the circuit. Promising candidate solutions are fine-tuned by a local search method. Results demonstrated that two-port compact filters are achieved, using simple microstrip building-blocks for describing the general passive microwave circuits.

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© 2008 Springer-Verlag Berlin Heidelberg

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Dantas, M.J.P., da C. Brito, L., Machado, P.C.M., de Carvalho, P.H.P. (2008). Bi-objective Memetic Evolutionary Algorithm for Automated Microwave Filter Synthesis. In: Zaverucha, G., da Costa, A.L. (eds) Advances in Artificial Intelligence - SBIA 2008. SBIA 2008. Lecture Notes in Computer Science(), vol 5249. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88190-2_25

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  • DOI: https://doi.org/10.1007/978-3-540-88190-2_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-88189-6

  • Online ISBN: 978-3-540-88190-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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