2007
DOI: 10.1109/map.2007.4385594
|View full text |Cite
|
Sign up to set email alerts
|

Particle-Swarm Optimization in Antenna Design: Optimization of Log-Periodic Dipole Arrays

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
2

Citation Types

0
28
0

Year Published

2010
2010
2017
2017

Publication Types

Select...
7
2

Relationship

0
9

Authors

Journals

citations
Cited by 55 publications
(32 citation statements)
references
References 48 publications
0
28
0
Order By: Relevance
“…BFA and PSO are based on same philosophies and have found profound applications in various problems of optimization. The reason behind preferring them to GA is their inherent simplicity and use of cooperative knowledge compared to competitive mode in GA [4]. The two algorithms BFA and PSO are quite similar in approach with subtle differences.…”
Section: Introductionmentioning
confidence: 99%
“…BFA and PSO are based on same philosophies and have found profound applications in various problems of optimization. The reason behind preferring them to GA is their inherent simplicity and use of cooperative knowledge compared to competitive mode in GA [4]. The two algorithms BFA and PSO are quite similar in approach with subtle differences.…”
Section: Introductionmentioning
confidence: 99%
“…The non-dominated sorting genetic algorithm II (NSGA-II) is applied in [23] to optimize LPDAs for operation in the range 3-30 MHz under requirements for minimum SWR, maximum FG and minimum LPDA length. A particle swarm optimization (PSO) algorithm is employed in [24] to design an optimal 10-element LPDA for operation in the range 450-1350 MHz under requirements that concern the average values of SWR, FG and FBR. In [25], an inverted-V LPDA is optimized in the range 6-30 MHz by using GAs under requirements that concern the values of SWR, FG and SLL, as well as the LPDA size.…”
Section: Related Work On Lpda Optimizationmentioning
confidence: 99%
“…In [16], a multi-objective optimization is applied to LPDAs for operation in the range 3-30 MHz under requirements for minimum SWR, minimum antenna length and maximum gain by employing the Non-dominated Sorting Genetic Algorithm II (NSGA-II). The Particle Swarm Optimization (PSO) is applied in [17] for a 10-element LPDA operating in the range 450-1350 MHz under requirements for the average values of the gain, the F/B ratio and the SWR. A circular parasitic array of four 12-element LPDAs is optimized in [18] under constraints for gain close to 8dBi and minimum SWR in the range 3.1-10.6 GHz.…”
Section: Related Workmentioning
confidence: 99%