Performance comparison of Differential Evolution, Genetic Algorithm and Particle Swarm Optimization in impedance matching of aperture coupled microstrip antennas

Deb, Arindam; Gupta, Bhaskar; Roy, Jibendu Sekhar

doi:10.1109/mms.2011.6068519

Cited by 13 publications

(9 citation statements)

References 9 publications

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“…DE inherits some of its features from other EAs. [13][14][15] it differs considerably in some aspects as distance and direction information is used for guiding the search process. It works with the iterative method to optimize the given parameters for improving the candidate result.…”

Section: Introductionmentioning

confidence: 99%

“…[19], dual-band circularly polarized spidron fractal microstrip patch antenna for X and Ku band applications had been designed with frequency band ranging from 11.44 to 12.48 GHz and 13.47 to 14.39 GHz, the overall size was 50 3 50 3 1.52 mm 3 , this was again considered to be very large and resulted in a complex design. Therefore, visualizing the overall antenna size issues, the main aim of this paper is to design an inset-fed dual-band microstrip antenna using DE with small and compact size which covers the specified frequency range for application in X band (8)(9)(10)(11)(12) and Ku band (12)(13)(14)(15)(16)(17)(18) in Ref. [20].…”

Section: Introductionmentioning

confidence: 99%

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Optimization of modified T‐shape microstrip patch antenna using differential algorithm for X and ku band applications

Nitika

Khanna

Kaur

2017

Micro & Optical Tech Letters

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In this study, a novel inset-fed slotted modified T-shape microstrip patch antenna with DGS is presented. This paper is a demonstration of Differential Algorithm (DE), which is used to optimize the various design parameters of slotted patch antenna in accordance with diverse necessities and scenarios, and also lowers the computation complexity of antenna. The proposed antenna design resonates in two different frequency bands, viz 11. 13-11.82 and 15.77-16.89 GHz with their respective bandwidths of 690 and 1120 MHz resonating at 11.47 GHz and 16.27 GHz, respectively. These frequency bands have their application in the field of satellite broadcasting, aeronautical military systems, and radio astronomy corresponding to X and Ku band. The designed antenna has an overall small size of 20 3 11 mm 2 . The simulated and measured results for the proposed antenna with DE are presented and discussed further. K E Y W O R D SCST MWS V14.0, differential algorithm, inset-fed, Ku-band, slotted microstrip patch antenna, X-band

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimization of modified T‐shape microstrip patch antenna using differential algorithm for X and ku band applications

Nitika

Khanna

Kaur

2017

Micro & Optical Tech Letters

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“…Both groups agree that the DE performance is the best. In [33,34], PSO and GA were compared and PSO was found computationally more effective with slightly better objective function value reached. In [35], it is shown how PSO performs better than GA so some authors decided to use hybrid GA-PSO method [36,37].…”

Section: Optimization and Control Of Electrical Machinesmentioning

confidence: 99%

Introductory Chapter: Introduction to the Design and the Control of Electrical Machines

Aissaoui¹

2018

Optimization and Control of Electrical Machines

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“…Dimensions of patch elements and slots have been optimized by creating simple shapes without using a grid of cells. In [69], feed position as well as the antenna dimensions has been determined by using DE to make the MPA operates over the given bandwidth. In [68], optimization of positions of feeding probe and shorting pin with the objective of reducing the size is presented.…”

Section: Differential Evolutionmentioning

confidence: 99%

Bio-Inspired Algorithms Applied on Microstrip Patch Antennas: a Review

Saraereh

Saraira

Alsafasfeh³

et al. 2016

IRECAP

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Design of small broadband, multiband and high-directivity microstrip patch antennas (MPAs) is a challenging task for the antenna research community since the classical MPAs do not perform well enough to be used in the real world applications. In this sense, various performance improvement techniques such as stacked patches, air gaps, compact meandering geometries, fractal-shapes and shorting pins are applied to design improved MPAs. Use of bio-inspired algorithms along with these techniques is trending due to their capability of manipulating antenna parameters to achieve optimized performance. Literature presents use of bio-inspired algorithms such as Genetic algorithms (GA), Particle swarm optimization (PSO), Differential evolution (DE), Invasive weed optimization (IWO), Wind driven optimization (WDO) and Ant colony optimization (ACO) on MPAs for performance enhancement. This paper begins with an introduction to MPAs followed by an analysis of the performance improvement techniques. Evolution of bio-inspired algorithms and their applications in the field of MPAs are also presented. Based on the compilation of studies, importance of applying multi-objective bio-inspired algorithms for simultaneous optimization of multiple antenna parameters is emphasized. Further, research voids in the field are revealed and direction is shown to design compact multifunctional MPAs.

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Performance comparison of Differential Evolution, Genetic Algorithm and Particle Swarm Optimization in impedance matching of aperture coupled microstrip antennas

Cited by 13 publications

References 9 publications

Optimization of modified T‐shape microstrip patch antenna using differential algorithm for X and ku band applications

Optimization of modified T‐shape microstrip patch antenna using differential algorithm for X and ku band applications

Introductory Chapter: Introduction to the Design and the Control of Electrical Machines

Bio-Inspired Algorithms Applied on Microstrip Patch Antennas: a Review

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