Evolutionary generation of microwave line-segment circuits by genetic algorithms

Nishino, Tamotsu; Flaviis, F. De; Alexopoulos, N.G.; Itoh, T.

doi:10.1109/euma.2000.338619

Cited by 11 publications

(17 citation statements)

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“…A simple bandpass and a type of dual band-pass filter, which offers a considerable difficulty degree, illustrate the application of the proposed method in this section. In recent years, dual-band filters have become extremely important components for wireless communication devices at microwave frequencies (Chen & Hsu, 2006, Hu et al, 2004, Koza et al, 1996, Grimbleby, 2000, Zebulum et al, 1998, Nishino & Itoh, 2002, Lai & Jeng, 2006. Its design is a hard problem, as reported in previous works (see (Lai & Jeng, 2006, Tsai & Hsue, 2004, Zhang, 2007, for example).…”

Section: Experiments and Resultsmentioning

confidence: 99%

Evolutionary Optimization of Microwave Filters

Dantas¹,

Rocha²,

Macedo³

et al. 2011

Evolutionary Algorithms

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Section: Experiments and Resultsmentioning

confidence: 99%

Evolutionary Optimization of Microwave Filters

Dantas¹,

Rocha²,

Macedo³

et al. 2011

Evolutionary Algorithms

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“…With recent advances in information and communications devices, design methods for transmission-line filters based on approaches different from the classical methods have been proposed with a view to miniaturization of the circuits and realization of better characteristics [1][2][3][4][5][6][7][8][9][10][11]. The possibilities of realizing filters with characteristics different from the traditional ones have been pointed out.…”

Section: Introductionmentioning

confidence: 99%

Synthesis of transmission‐line filters with stubs using genetic algorithms

Yamamoto

Sanada

Takezawa

et al. 2006

Electron Comm Jpn Pt III

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SUMMARYThis paper discusses the design of transmission-line filters with stubs by using the genetic algorithm. In many cases, the transmission-line filter is realized by connecting equal-length elements by several transform operations starting with the lumped-element prototype filter. In the proposed method, the determination of the filter configuration is treated as an optimization problem. A structure realizing the desired characteristics is determined by the genetic algorithm (GA). In this case, the characteristic resistance and the section length in a certain section are arbitrary. Therefore, there is no regulation of the distribution of the characteristic resistances. Also, the filter can be constructed by cascade connection of unequally long sections. As a result, it is possible to obtain filters with structures different from the conventional ones. It will be possible to realize small filters of simpler structure and filters with frequency characteristics not easily treated by the filter structure consisting of a cascade connection of equal-length elements. The actual design of several lowpass filters is performed and it is demonstrated that the proposed method can be used as a design approach for a transmission-line filter.

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“…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%

“…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. However, there have been few published papers about UWB bandpass filters designed based on algorithm so far.…”

Section: Introductionmentioning

confidence: 99%

A Novel Approach to Design of Microstrip Uwb Bandpass Filter Using Modified Genetic Algorithm

Peng¹,

Zhao²,

Zhang³

et al. 2014

PIER M

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Abstract-A novel approach to design microstrip ultra-wideband (UWB) bandpass filter (BPF) using modified genetic algorithm (MGA) is proposed in this paper. To achieve high efficiency and accuracy, conventional GA is modified. By improving the fitness evaluation, selection, crossover, and mutation, the two possible drawbacks of conventional GA, i.e., slow rate of convergence and local-best solution, are overcome. The modified genetic algorithm is then applied to simultaneously search for the appropriate circuit topology and the corresponding electrical parameters with UWB characteristic. To demonstrate the effectiveness of the novel approach, a new microstrip UWB BPF is designed and fabricated. Measurement results agree well with the design index and full-wave EM simulated results.

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Evolutionary generation of microwave line-segment circuits by genetic algorithms

Cited by 11 publications

References 0 publications

Evolutionary Optimization of Microwave Filters

Evolutionary Optimization of Microwave Filters

Synthesis of transmission‐line filters with stubs using genetic algorithms

A Novel Approach to Design of Microstrip Uwb Bandpass Filter Using Modified Genetic Algorithm

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