Bi-objective Memetic Evolutionary Algorithm for Automated Microwave Filter Synthesis
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 buil...
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Published in | Advances in Artificial Intelligence - SBIA 2008 pp. 197 - 206 |
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Main Authors | , , , |
Format | Book Chapter |
Language | English |
Published |
Berlin, Heidelberg
Springer Berlin Heidelberg
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Series | Lecture Notes in Computer Science |
Subjects | |
Online Access | Get full text |
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Summary: | 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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ISBN: | 3540881891 9783540881896 |
ISSN: | 0302-9743 1611-3349 |
DOI: | 10.1007/978-3-540-88190-2_25 |