2012 Elektro 2012
DOI: 10.1109/elektro.2012.6225576
|View full text |Cite
|
Sign up to set email alerts
|

Optimization of RF band pass filter by genetic algorithm

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
3
2

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(2 citation statements)
references
References 3 publications
0
2
0
Order By: Relevance
“…The higher the crossover probability, the faster new solutions are provided in the population. Solutions can be degraded faster than the selection can utilize them as crossover probability increases [6]. Value of cross-over probability should be maintained within the range of 0.5 to 1.…”
Section: Optimization Of Pcml Filter Design Using Gamentioning
confidence: 99%
“…The higher the crossover probability, the faster new solutions are provided in the population. Solutions can be degraded faster than the selection can utilize them as crossover probability increases [6]. Value of cross-over probability should be maintained within the range of 0.5 to 1.…”
Section: Optimization Of Pcml Filter Design Using Gamentioning
confidence: 99%
“…The pair of front value is 10 and the number of individuals is 5, representing the new generation. [6] [18] Each fold's length is optimized, and S11 and S21 are also optimized at the same time. Table 1 shows the optimized filter dimensions after all optimizations have been completed.…”
Section: Optimization Of Filtermentioning
confidence: 99%