Optimization of Gain, Impedance, and Bandwidth of Yagi-Uda Array Using Particle Swarm Optimization
Particle swarm optimization (PSO) is a new, high-performance evolutionary technique, which has recently been used for optimization problems in antennas and electromagnetics. It is a global optimization technique-like genetic algorithm (GA) but has less computational cost compared to GA. In this pape...
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| Format: | Article |
| Language: | English |
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Wiley
2008-01-01
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| Series: | International Journal of Antennas and Propagation |
| Online Access: | http://dx.doi.org/10.1155/2008/193242 |
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| author | Munish Rattan Manjeet Singh Patterh B. S. Sohi |
| author_facet | Munish Rattan Manjeet Singh Patterh B. S. Sohi |
| author_sort | Munish Rattan |
| collection | DOAJ |
| description | Particle swarm optimization (PSO) is a new, high-performance evolutionary technique, which has recently been used for optimization problems in antennas and electromagnetics. It is a global optimization technique-like genetic algorithm (GA) but has less computational cost compared to GA. In this paper, PSO has been used to optimize the gain, impedance, and bandwidth of Yagi-Uda array. To evaluate the performance of designs, a method of moments code NEC2 has been used. The results are comparable to those obtained using GA. |
| format | Article |
| id | doaj-art-2534dac7fea84eaa96264248e72b59cb |
| institution | Kabale University |
| issn | 1687-5869 1687-5877 |
| language | English |
| publishDate | 2008-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Antennas and Propagation |
| spelling | doaj-art-2534dac7fea84eaa96264248e72b59cb2025-02-03T06:11:29ZengWileyInternational Journal of Antennas and Propagation1687-58691687-58772008-01-01200810.1155/2008/193242193242Optimization of Gain, Impedance, and Bandwidth of Yagi-Uda Array Using Particle Swarm OptimizationMunish Rattan0Manjeet Singh Patterh1B. S. Sohi2Department of Electronics and Communication Engineering, Guru Nanak Dev Engineering College, Ludhiana, Punjab 141006, IndiaDepartment of Electronics and Communication Engineering, UCoE, Punjabi University, Patiala, Punjab 147002, IndiaDepartment of Electronics and Communication Engineering, UIET, Panjab University, Chandigarh 160014, IndiaParticle swarm optimization (PSO) is a new, high-performance evolutionary technique, which has recently been used for optimization problems in antennas and electromagnetics. It is a global optimization technique-like genetic algorithm (GA) but has less computational cost compared to GA. In this paper, PSO has been used to optimize the gain, impedance, and bandwidth of Yagi-Uda array. To evaluate the performance of designs, a method of moments code NEC2 has been used. The results are comparable to those obtained using GA.http://dx.doi.org/10.1155/2008/193242 |
| spellingShingle | Munish Rattan Manjeet Singh Patterh B. S. Sohi Optimization of Gain, Impedance, and Bandwidth of Yagi-Uda Array Using Particle Swarm Optimization International Journal of Antennas and Propagation |
| title | Optimization of Gain, Impedance, and Bandwidth of Yagi-Uda Array Using Particle Swarm Optimization |
| title_full | Optimization of Gain, Impedance, and Bandwidth of Yagi-Uda Array Using Particle Swarm Optimization |
| title_fullStr | Optimization of Gain, Impedance, and Bandwidth of Yagi-Uda Array Using Particle Swarm Optimization |
| title_full_unstemmed | Optimization of Gain, Impedance, and Bandwidth of Yagi-Uda Array Using Particle Swarm Optimization |
| title_short | Optimization of Gain, Impedance, and Bandwidth of Yagi-Uda Array Using Particle Swarm Optimization |
| title_sort | optimization of gain impedance and bandwidth of yagi uda array using particle swarm optimization |
| url | http://dx.doi.org/10.1155/2008/193242 |
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