2007
DOI: 10.1002/tee.20213
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Design of transmission line filters and matching circuits using genetic algorithms

Abstract: A method for designing microwave filters and impedance matching circuits using transmission lines is presented. Transmission line filters with shunt‐connected open circuit stubs and continuously varying transmission line matching circuits are described in detail. The proposed method is based on genetic algorithms and can effectively be applied to various filter and matching circuit design problems without increasing theoretical and computational complexity. Design examples are provided, and the proposed method… Show more

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Cited by 9 publications
(5 citation statements)
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“…Enumerating various combinations of parameter values becomes unwieldy, necessitating an extensive number of enumerations, thereby constraining efficiency. As an optimization algorithm [ 36 ], the genetic algorithm excels in discerning optimal solutions amid intricate and diverse conditions [ 37 ]. Consequently, this article employs the genetic algorithm to efficiently and swiftly identify optimal parameter combinations, innovatively applying it to the parameter optimization of DFEIM technology.…”
Section: Discussionmentioning
confidence: 99%
“…Enumerating various combinations of parameter values becomes unwieldy, necessitating an extensive number of enumerations, thereby constraining efficiency. As an optimization algorithm [ 36 ], the genetic algorithm excels in discerning optimal solutions amid intricate and diverse conditions [ 37 ]. Consequently, this article employs the genetic algorithm to efficiently and swiftly identify optimal parameter combinations, innovatively applying it to the parameter optimization of DFEIM technology.…”
Section: Discussionmentioning
confidence: 99%
“…Mostly, work had been done on the FODs which can operate hardly up to a frequency of few hundred MHz. So, the benefits of fractional calculus discussed so far can be taken to GHz range by using various techniques for the design and implementation of microwave filters [27][28][29][30][31][32]. In [27], compact dual-band bandpass filters using microstrip lines were designed using the hybrid-coded GA. Sanada et al [28] used the GA method for designing transmission line filters with open-circuited stubs in shunt configuration and continuously varying transmission line matching circuits.…”
Section: Introductionmentioning
confidence: 99%
“…So, the benefits of fractional calculus discussed so far can be taken to GHz range by using various techniques for the design and implementation of microwave filters [27][28][29][30][31][32]. In [27], compact dual-band bandpass filters using microstrip lines were designed using the hybrid-coded GA. Sanada et al [28] used the GA method for designing transmission line filters with open-circuited stubs in shunt configuration and continuously varying transmission line matching circuits. Based on equal-length non-uniform coupled lines, a tripleband bandpass microwave filter was proposed by evaluating the system function of the filter in the Z-domain using discrete-time techniques and chain scattering matrices of transmission line elements [29].…”
Section: Introductionmentioning
confidence: 99%
“…Many kinds of algorithms such as conjugate gradient method, annealing algorithm, and genetic algorithm (GA) are studied to enhance the efficiency and performance of the filter synthesis [9][10][11][12]. The powerful heuristic of the GA is widely used in science and engineering problems.…”
Section: Introductionmentioning
confidence: 99%
“…And it is particularly effective to solve complex electromagnetic problems. In [11], Sanada et al presented a method for designing transmission line filters with shunt-connected open circuit stubs and matching circuits with continuously varying nonuniform transmission lines using GA. In [12], Nishino and Itoh, proposed a scheme to describe the physical parameters and topology of the circuit composed of microstrip-line segments and then integrated this representation scheme with conventional GA.…”
Section: Introductionmentioning
confidence: 99%