An interactive evolutionary algorithm for MMIC low noise amplifier design

Neoh, Siew Chin, Marzuki, Arjuna, Morad, Norhashimah, Lim, Chee Peng and Aziz, Zalina Abdul 2009, An interactive evolutionary algorithm for MMIC low noise amplifier design, ICIC express letters, vol. 3, no. 1, pp. 15-19.

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Title An interactive evolutionary algorithm for MMIC low noise amplifier design
Author(s) Neoh, Siew Chin
Marzuki, Arjuna
Morad, Norhashimah
Lim, Chee PengORCID iD for Lim, Chee Peng
Aziz, Zalina Abdul
Journal name ICIC express letters
Volume number 3
Issue number 1
Start page 15
End page 19
Total pages 5
Publisher ICIC International
Place of publication [Japan]
Publication date 2009-03
ISSN 1881-803X
Keyword(s) genetic algorithm
interactive evolutionary algorithm
layer encoding
MMIC design
particle swarm optimization
Summary A layer-encoded interactive evolutionary algorithm (IEA) for optimization of design parameters of a monolithic microwave integrated circuit (MMIC) low noise amplifier is presented. The IEA comprises a combination of the genetic algorithm (GA) and the particle swarm optimization (PSO) technique. The layer-encoding structure allows human intervention in order to accelerate the process of evolution, whereas the GA and PSO technique are incorporated to enhance both global and local searches. With this combination of features, the proposed IEA has shown to be efficient in meeting all requirements and constraints of the MMIC. In addition, the IEA is able to optimize noise figure, current, and power gain of the MMIC amplifier design.
Language eng
Field of Research 089999 Information and Computing Sciences not elsewhere classified
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category C1.1 Refereed article in a scholarly journal
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