Optimum Design of Continuous Microstrip Tapersusing Genetic Algorithms

Authors

  • Sadiq K. Ahmed Electrical Eng. Dept., College of Engineering, Al-Mustansiriya University, Baghdad, Iraq Author
  • Zaid A. Abed Al-Hussein Electrical Eng. Dept., College of Engineering, Al-Mustansiriya University, Baghdad, Iraq Author

Keywords:

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Abstract

This paper describes an optimum design of continuous microstrip tapers using genetic algorithms (GA’s).
This approach has a few advantages: giving a clearer and simpler representation of the problem. In this method genetic algorithms deal with the reduction of the reflection coefficient pattern for a certain range of frequencies. Three different continuous transmission line tapers are compared here, linear, exponential, and Chebyshev with the genetic algorithms.
Genetic algorithms can obtain very small reflection coefficient within the range of frequency, but on the other hand the characteristics impedance form obtained is difficult in practical.

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Published

2006-06-01

Issue

Vol. 10 No. 2 (2006): Journal of Engineering and Development

Section

Articles

License

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This work is licensed under a Creative Commons Attribution 4.0 International License.

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How to Cite

Optimum Design of Continuous Microstrip Tapersusing Genetic Algorithms. (2006). Journal of Engineering and Sustainable Development, 10(2), 19-31. https://jeasd.uomustansiriyah.edu.iq/index.php/jeasd/article/view/1802