Application of continuous parameter genetic algorithm to the problem of synthesizing bandpass distributed amplifiers

Tayfun Günel; Mustafa Emre Aydemir

doi:10.1078/1434-8411-54100117

Application of continuous parameter genetic algorithm to the problem of synthesizing bandpass distributed amplifiers

Tayfun Günel^*, Mustafa Emre Aydemir

^*Bu çalışma için yazışmadan sorumlu yazar

Elektronik ve Hab.Müh.Bölümü

Turkish Air Force Academy

Araştırma sonucu: Dergiye katkı › Mektup › bilirkişi

13 Atıf (Scopus)

Özet

Continuous parameter genetic algorithm (CPGA) is applied to synthesis of monolithic GaAs FET bandpass distributed amplifiers for desired flat gain and maximum cutoff bandwidth. The results obtained by CPGA are compared with the results obtained by fuzzy genetic algorithm (FGA) and binary genetic algorithm (BGA).

Orijinal dil	İngilizce
Sayfa (başlangıç-bitiş)	351-354
Sayfa sayısı	4
Dergi	AEU-Archiv fur Elektronik und Ubertragungstechnik
Hacim	56
Basın numarası	5
DOI'lar	https://doi.org/10.1078/1434-8411-54100117
Yayın durumu	Yayınlandı - 2002

Belgeye Erişim

10.1078/1434-8411-54100117

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

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title = "Application of continuous parameter genetic algorithm to the problem of synthesizing bandpass distributed amplifiers",

abstract = "Continuous parameter genetic algorithm (CPGA) is applied to synthesis of monolithic GaAs FET bandpass distributed amplifiers for desired flat gain and maximum cutoff bandwidth. The results obtained by CPGA are compared with the results obtained by fuzzy genetic algorithm (FGA) and binary genetic algorithm (BGA).",

keywords = "Bandpass amplifiers, Distributed amplifiers, Genetic algorithm, Global optimization, Microwave circuit synthesis",

author = "Tayfun G{\"u}nel and Aydemir, {Mustafa Emre}",

year = "2002",

doi = "10.1078/1434-8411-54100117",

language = "English",

volume = "56",

pages = "351--354",

journal = "AEU-Archiv fur Elektronik und Ubertragungstechnik",

issn = "0001-1096",

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number = "5",

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TY - JOUR

T1 - Application of continuous parameter genetic algorithm to the problem of synthesizing bandpass distributed amplifiers

AU - Günel, Tayfun

AU - Aydemir, Mustafa Emre

PY - 2002

Y1 - 2002

N2 - Continuous parameter genetic algorithm (CPGA) is applied to synthesis of monolithic GaAs FET bandpass distributed amplifiers for desired flat gain and maximum cutoff bandwidth. The results obtained by CPGA are compared with the results obtained by fuzzy genetic algorithm (FGA) and binary genetic algorithm (BGA).

AB - Continuous parameter genetic algorithm (CPGA) is applied to synthesis of monolithic GaAs FET bandpass distributed amplifiers for desired flat gain and maximum cutoff bandwidth. The results obtained by CPGA are compared with the results obtained by fuzzy genetic algorithm (FGA) and binary genetic algorithm (BGA).

KW - Bandpass amplifiers

KW - Distributed amplifiers

KW - Genetic algorithm

KW - Global optimization

KW - Microwave circuit synthesis

UR - http://www.scopus.com/inward/record.url?scp=0036415071&partnerID=8YFLogxK

U2 - 10.1078/1434-8411-54100117

DO - 10.1078/1434-8411-54100117

M3 - Letter

AN - SCOPUS:0036415071

SN - 0001-1096

VL - 56

SP - 351

EP - 354

JO - AEU-Archiv fur Elektronik und Ubertragungstechnik

JF - AEU-Archiv fur Elektronik und Ubertragungstechnik

IS - 5

ER -

Application of continuous parameter genetic algorithm to the problem of synthesizing bandpass distributed amplifiers

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Belgeye Erişim

Diğer Dosyalar ve Linkler

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