Design of Planar Ebg Structures Using Cuckoo Search Algorithm for Power/Ground Noise Suppression

Pani, Priya Ranjan; Nagpal, Raj Kumar; Malik, Rakesh; Gupta, Nisha

doi:10.2528/pierm12121108

Cited by 8 publications

(3 citation statements)

References 11 publications

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“…Currently, optimization algorithms mainly focus on optimizing parameters of planar EBG structures. References [7,9] focused on the automatic design of infinite-period planar EBG structures but did not consider the practical application of finite-period EBGs in noise suppression. Although [8] further considered finite-period noise isolation, the design process was cumbersome, and the size was large.…”

Section: Multistage Genetic Algorithmmentioning

confidence: 99%

“…In order to achieve wider stopband and higher suppression depths in PDN, various types of intelligent algorithms have been applied to the optimization of EBG structures, including cuckoo search algorithm [7], genetic algorithms [8], global evolutionary algorithm [9], and swarm intelligence algorithm [10]. Among them, genetic algorithm is widely used in the field of electromagnetic engineering due to its ease of implementation and strong robustness [11,12].…”

Section: Introductionmentioning

confidence: 99%

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Optimizing 1D Dielectric Electromagnetic Bandgap (D-EBG) Structures Using Multistage Genetic Algorithm (MS-GA) and Considering Parameter Variations

Guo,

Hu,

et al. 2023

PIER B

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An optimization method utilizing a multistage genetic algorithm (MS-GA) and considering parameter variations has been proposed to obtain optimal design of one-dimensional dielectric bandgap (1D D-EBG) structures with a few periods in small packaging power distribution networks. Onedimensional finite method (1D FEM) is used to improve computational efficiency and iteration speed. MS-GA consists of 3 stages: In stage 1, the population was initialized by Hamming distance, and the fitness was calculated to determine the number of EBG period. In stage 2, genetic manipulation and sensitivity analysis were used to improve local search ability and obtain preliminary results. In stage 3, cubic spline interpolation and local integral were used to reconstruct the fitness evaluation function considering parameter deviation, adjust the results, and obtain the optimal parameters. Three optimized target frequency bands with center frequencies of 2.4 GHz, 3.5 GHz, and 28 GHz were optimized, and Pearson coefficient was used to analyze the correlation between the parameters to better understand the influence of parameter deviation on the optimization results. The achieved results meet the optimization object within the allowable range of parameter errors, and the parameter constraints were successfully met for all three designs, with their final dimensions below 20 mm. Three-dimensional full-wave simulation software was used to simulate and analyze the stopband bands, and the simulation results were consistent with the calculation results.

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Section: Multistage Genetic Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimizing 1D Dielectric Electromagnetic Bandgap (D-EBG) Structures Using Multistage Genetic Algorithm (MS-GA) and Considering Parameter Variations

Guo,

Hu,

et al. 2023

PIER B

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“…Optimization of band-gap structures is important to overcome the tedious, repetitive simulation process while designing the structure for the desired band gap. This can be achieved by developing an equivalent circuit model of the structure [13]. Another approach would be to involve optimization technique [14] using the evolutionary optimization algorithms in the design process.…”

Section: Introductionmentioning

confidence: 99%

Genetic Algorithm Optimized Electromagnetic Band Gap Structure for Wide Band Noise Suppression

Appasani¹,

Verma²,

Pelluri³

et al. 2017

PIER Letters

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Ground bounce noise (GBN) is a major concern in high speed electronic circuits. In this paper a Genetic Algorithm (GA) optimized electromagnetic band gap (EBG) structure is proposed for suppression of the GBN. The unit cell of the structure is comprised of several square patches, each having a dimension of 5 mm × 5 mm. The position of the square patches is optimized using the GA, such that the stopband is maximized. A single unit cell of the optimized structure is fabricated and tested for its stopband characteristics using the vector network analyzer (VNA). The structure is then tested for its signal integrity (SI) using the Agilent ADS software. The single unit cell of the optimized structure provides a wide band gap of 20 GHz with 30 dB isolation and a band gap of 17.4 GHz with 40 dB isolation. The results obtained are compared with the existing results. The optimized structure shows improved performance in terms of stop band gap and signal integrity (SI).

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Cuckoo Search: A Brief Literature Review

Fister

Yang²,

Fister

2013

Studies in Computational Intelligence

116

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Cuckoo search (CS) was introduced in 2009, and it has attracted great attention due to its promising efficiency in solving many optimization problems and real-world applications. In the last few years, many papers have been published regarding cuckoo search, and the relevant literature has expanded significantly. This chapter summarizes briefly the majority of the literature about cuckoo search in peer-reviewed journals and conferences found so far. These references can be systematically classified into appropriate categories, which can be used as a basis for further research.Comment: 14 pages 3 figure

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Design of Planar Ebg Structures Using Cuckoo Search Algorithm for Power/Ground Noise Suppression

Cited by 8 publications

References 11 publications

Optimizing 1D Dielectric Electromagnetic Bandgap (D-EBG) Structures Using Multistage Genetic Algorithm (MS-GA) and Considering Parameter Variations

Optimizing 1D Dielectric Electromagnetic Bandgap (D-EBG) Structures Using Multistage Genetic Algorithm (MS-GA) and Considering Parameter Variations

Genetic Algorithm Optimized Electromagnetic Band Gap Structure for Wide Band Noise Suppression

Cuckoo Search: A Brief Literature Review

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