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An interactive evolutionary algorithm for MMIC low noise amplifier design
journal contribution
posted on 2009-03-01, 00:00 authored by S Neoh, A Marzuki, N Morad, Chee Peng LimChee Peng Lim, Z AzizA 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.
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Journal
ICIC express lettersVolume
3Issue
1Pagination
15 - 19Publisher
ICIC InternationalLocation
[Japan]ISSN
1881-803XLanguage
engPublication classification
C1.1 Refereed article in a scholarly journalUsage metrics
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