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Application of Multi Objective Evolutionary Algorithms to Analogue Filter Tuning

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Evolutionary Multi-Criterion Optimization (EMO 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1993))

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Abstract

This paper discusses and compares the methods of Multi Objective Genetic Algorithm and Multi Objective Simulated Annealing applied to LC filter tuning. Specifically, the paper is concerned with the application and implementation of these methods to the design of an antenna tuning unit, providing the facility to adapt to changes in load impedance, temperature or environmental effects, ensuring maximum power transfer and harmonic rejection. A number of simulations were carried out to evaluate the relative performance of these algorithms.

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Author information

Authors and Affiliations

  1. Electronics Research Group, Sheffield Hallam University, S1 1WB, Sheffield, UK

    Mark Thompson (Dr.)

Authors
  1. Mark Thompson
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Editor information

Editors and Affiliations

  1. Department of Electrical Engineering Computer Engineering and Networks Laboratory, Swiss Federal Institute of Technology, ETH Zentrum, Gloriastrasse 35, 8092, Zurich, Switzerland

    Eckart Zitzler  & Lothar Thiele  & 

  2. Department of Mechanical Engineering Kanpur Genetic Algorithms Laboratory, Indian Institute of Technology, UP 208 016, Kanpur, India

    Kalyanmoy Deb

  3. Electrical Engineering Department,Computer Science Section Av.Instituto Politecnico Nacional No.2508, CINVESTAV-IPN, Col.San Pedro Zacatenco, 07300, Mexico City, Mexico

    Carlos Artemio Coello Coello

  4. Department of Computer Science, University of Reading, P.O.Box 225, Reading RG6 6AY, Whiteknights, UK

    David Corne

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© 2001 Springer-Verlag Berlin Heidelberg

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Thompson, M. (2001). Application of Multi Objective Evolutionary Algorithms to Analogue Filter Tuning. In: Zitzler, E., Thiele, L., Deb, K., Coello Coello, C.A., Corne, D. (eds) Evolutionary Multi-Criterion Optimization. EMO 2001. Lecture Notes in Computer Science, vol 1993. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44719-9_38

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  • DOI: https://doi.org/10.1007/3-540-44719-9_38

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41745-3

  • Online ISBN: 978-3-540-44719-1

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