Abstract
In modern communication systems, optimizing antenna phase is crucial for improving signal quality and reducing interference. Genetic algorithms (GAs) are frequently employed for this purpose due to their ability to avoid local minima and identify global solutions within large search spaces. This survey provides a comprehensive review of existing research on antenna phase optimization using genetic algorithms. It examines the strengths and weaknesses of current techniques, analyzes various methodologies and their outcomes reported in the literature, and critically compares the performance of genetic algorithms with other optimization methods. This survey aims to guide future research and serve as an extensive resource for engineers and researchers in the field.
| Original language | English |
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| Title of host publication | 2024 IEEE 3rd World Conference on Applied Intelligence and Computing, AIC 2024 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 511-517 |
| Number of pages | 7 |
| ISBN (Electronic) | 9798350384598 |
| DOIs | |
| Publication status | Published - 2024 |
| Event | 3rd IEEE World Conference on Applied Intelligence and Computing, AIC 2024 - Hybrid, Gwalior, India Duration: 27 Jun 2024 → 28 Jun 2024 |
Publication series
| Name | 2024 IEEE 3rd World Conference on Applied Intelligence and Computing, AIC 2024 |
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Conference
| Conference | 3rd IEEE World Conference on Applied Intelligence and Computing, AIC 2024 |
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| Country/Territory | India |
| City | Hybrid, Gwalior |
| Period | 27/06/24 → 28/06/24 |
Bibliographical note
Publisher Copyright:© 2024 IEEE.
Keywords
- Antenna Phase Optimization
- Genetic Algorithms
- Interference Reduction
- Optimization Techniques Comparison
- Signal Quality Enhancement