An Interactive Evolutionary Algorithm for Mmic Low Noise Amplifier Design

نویسندگان

  • Siew Chin Neoh
  • Arjuna Marzuki
  • Norhashimah Morad
  • Chee Peng Lim
  • Zalina Abdul Aziz
  • Z. A. AZIZ
چکیده

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.

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تاریخ انتشار 2008