Open AccessApplication of Genetic Algorithm for Binary Optimization of Microstrip Antennas: A Review
Author(s) -
Jeevani Jayasinghe,
AUTHOR_ID
Publication year - 2021
Publication title -
aims electronics and electrical engineering
Language(s) - English
Resource type - Journals
ISSN - 2578-1588
DOI - 10.3934/electreng.2021016
Subject(s) - directivity , genetic algorithm , microstrip antenna , computer science , broadband , bandwidth (computing) , electronic engineering , directional antenna , microstrip , binary number , antenna (radio) , telecommunications , engineering , mathematics , arithmetic , machine learning
Researchers have proposed applying optimization techniques to improve performance of microstrip antennas (MSAs) in terms of bandwidth, radiation characteristics, polarization, directivity and size. The drawbacks of the conventional MSAs can be overcome by optimizing the antenna parameters while keeping a compact configuration. Applying a global optimizer is a better technique than using a local optimizer or a trial and error method for performance enhancement. This paper discusses genetic algorithm (GA) optimization of microstrip antennas presented by the antenna research community. The GA optimization procedure, antenna parameters optimized by using GA and the optimization objectives are presented by reviewing the literature. Further, evolution of GA in the field of MSAs and its significance are explored. Application of GA optimization to design broadband, multiband, high-directivity and miniature antennas is demonstrated with the support of several case studies giving an insight for further developments in the field.