Deakin University
Browse

File(s) under permanent embargo

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 Aziz
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.

History

Journal

ICIC express letters

Volume

3

Issue

1

Pagination

15 - 19

Publisher

ICIC International

Location

[Japan]

ISSN

1881-803X

Language

eng

Publication classification

C1.1 Refereed article in a scholarly journal

Usage metrics

    Research Publications

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC