Genetic Algorithm for Microwave Computer-Aided Design: The State of the Art

Abadahigwa Bimana, Saurabh Sinha

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


The design of microwave integrated circuits is complex and has traditionally been done by highly experienced designers. Although several electronic design automation (EDA) tools allow for addressing some complexities of these circuits, they do not always make it possible to optimize the performance objectives of the circuit sought by the designer. The genetic algorithm (GA), a multiobjective optimization evolutionary algorithm, has been used in the design of analog components and circuits for a few decades. The algorithm is robust and efficient and surpasses classic optimization techniques based on numerical methods in many applications. Limitations of the GA include the need to predefine a circuit topology that can achieve the desired objectives and the considerable computing resources required when the algorithm is to perform circuit synthesis. Like digital design, the trend in analog design is towards more automation, which reduces the design complexity, cycle and cost and improves optimization capabilities. This survey showed that the new generation of EDA tools will be based on machine learning and multiple optimization techniques, including evolutionary algorithms such as the GA, a direction taken by several mainstream EDA suppliers.

Original languageEnglish
Title of host publicationProceedings of the 16th IEEE AFRICON, AFRICON 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350336214
Publication statusPublished - 2023
Event16th IEEE AFRICON, AFRICON 2023 - Nairobi, Kenya
Duration: 20 Sept 202322 Sept 2023

Publication series

NameIEEE AFRICON Conference
ISSN (Print)2153-0025
ISSN (Electronic)2153-0033


Conference16th IEEE AFRICON, AFRICON 2023


  • Analog integrated circuits
  • Circuit optimization
  • Design automation
  • Genetic Algorithms
  • Microwave circuits

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering


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