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

^*Corresponding author for this work

Department of Electronics and Communication Engineering

Turkish Air Force Academy

Research output: Contribution to journal › Letter › peer-review

13 Citations (Scopus)

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).

Original language	English
Pages (from-to)	351-354
Number of pages	4
Journal	AEU-Archiv fur Elektronik und Ubertragungstechnik
Volume	56
Issue number	5
DOIs	https://doi.org/10.1078/1434-8411-54100117
Publication status	Published - 2002

Keywords

Bandpass amplifiers
Distributed amplifiers
Genetic algorithm
Global optimization
Microwave circuit synthesis

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10.1078/1434-8411-54100117

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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",

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

AU - Günel, Tayfun

AU - Aydemir, Mustafa Emre

PY - 2002

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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 - https://www.scopus.com/pages/publications/0036415071

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

Abstract

Keywords

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