Design of planar thinned arrays using a Boolean differential evolution algorithm

Zhang, L.; Jiao, Yong‐Chang; Weng, Zibin; Zhang, F.-S.

doi:10.1049/iet-map.2009.0630

Cited by 62 publications

(83 citation statements)

References 9 publications

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“…DE has been successfully applied to many EM problems, such as array synthesis [5], electromagnetic imaging [6], and synthesis of coplanar strip lines [7]. Meanwhile, to solve binary optimization problems, some binary versions of DE have been proposed [8,9]. In [9], a novel binary version of DE, namely Boolean differential evolution (BDE), has been applied to thinned array design, and it is observed that DE is also a powerful tool for binary optimization problems.…”

Section: 47-5725 Ghz In Europe)mentioning

confidence: 99%

“…Meanwhile, to solve binary optimization problems, some binary versions of DE have been proposed [8,9]. In [9], a novel binary version of DE, namely Boolean differential evolution (BDE), has been applied to thinned array design, and it is observed that DE is also a powerful tool for binary optimization problems. Genetic algorithm (GA) optimized mesh-grid structure has been widely used in electromagnetic design, problems, such as microstrip patch antenna [10], planar monopole antenna [11], and frequency selective surface (FSS) [12] design ones.…”

Section: 47-5725 Ghz In Europe)mentioning

confidence: 99%

“…The grids as well as the dimensions of the feed line are coded into a single binary chromosome and optimized simultaneously. Instead of GA, the recently proposed BDE algorithm is utilized as the binary optimizer [9]. By optimizing the mesh-grid structure, an appropriate slot shape, which has significantly enlarged the antenna's impedance bandwidth, is obtained.…”

Section: 47-5725 Ghz In Europe)mentioning

confidence: 99%

“…By combining BDE with MOM, an efficient method for antenna design and optimization is presented [9]. The flow chart of a typical BDE/MOM is show in Figure 1.…”

Section: Selectionmentioning

confidence: 99%

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A Compact Tri-Band Antenna Design Using Boolean Differential Evolution Algorithm

Dong¹,

Zhang²,

Ren³

2012

PIER C

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Abstract-A compact tri-band slot antenna based on a mesh-grid structure, which is suitable for WLAN/WiMAX applications, is presented. The proposed antenna is optimized by a Boolean differential evolution algorithm (BDE). Then an experimental prototype is fabricated and measured. Results of simulation and measurements indicate that the proposed antenna has |S 11 | < −10 dB in the three chosen frequency bands from 2.35 to 2.85 GHz, from 3.1 to 4.4 GHz and from 4.8 GHz to 5.85 GHz, which covers WLAN bands (2.4/5.2/5.8 GHz) and the WiMAX bands (2.5/3.5/5.5 GHz), respectively.In addition, good radiation performances such as omnidirectional and doughnut-shaped directivity and reasonable gain over the operating bands have been obtained.This example also demonstrates the applicability of the BDE/MOM optimization algorithm to efficient and in potential automated method for the antenna design.

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Section: 47-5725 Ghz In Europe)mentioning

confidence: 99%

Section: 47-5725 Ghz In Europe)mentioning

confidence: 99%

Section: 47-5725 Ghz In Europe)mentioning

confidence: 99%

“…By combining BDE with MOM, an efficient method for antenna design and optimization is presented [9]. The flow chart of a typical BDE/MOM is show in Figure 1.…”

Section: Selectionmentioning

confidence: 99%

See 2 more Smart Citations

A Compact Tri-Band Antenna Design Using Boolean Differential Evolution Algorithm

Dong¹,

Zhang²,

Ren³

2012

PIER C

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“…Most of these classical optimization methods (such as Newton methods, down-hill and conjugate gradient) are not well suited for thinning an array, because they can only optimize a few continuous problems and often get stuck in local optimal. Therefore, many stochastic, probabilistic or evolutionary optimization approach, such as simulated annealing [5], genetic algorithm [1], immune algorithm [6], ant colony optimization [7], different evolutions [8], particle swarm optimization algorithm [9] were used and shown to be effective for the synthesis of thinned arrays. Some other approaches [10,11] have also been proposed.…”

Section: Introductionmentioning

confidence: 99%

Synthesis of Thinned Array With Side Lobe Levels Reduction Using Improved Binary Invasive Weed Optimization

Liu¹,

Wu²

2014

PIER M

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Abstract-As a very powerful optimization algorithm, invasive weed optimization has been widely applied to continuous optimization problems in electromagnetic (EM) field. However, the optimization of a thinned array can be formulated as a discrete-variable optimization problem with solutions encoded as binary strings. Therefore, in this paper, an improved binary invasive weed optimization (IBIWO) is proposed to design a thinned array with minimum side lobe levels. To evaluate the performance of the proposed algorithm, two examples have been presented and solved. Simulation results of the proposed thinned arrays obtained by IBIWO are compared with published results to verify the effectiveness of the proposed method.

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Combination of differential evolution algorithm and fast fourier transform for synthesis of footprint patterns from rectangular planar array

Chatterjee

Mahanti

Choudhury

2013

Int J Numerical Modelling

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An FFT-based footprint pattern synthesis from a rectangular planar array of isotropic antennas by modifying the amplitude, phase and the state ('on'/'off') of the array elements using differential evolution algorithm has been presented. Three different footprints of rectangular, square and circular boundaries are generated from the array while maintaining a satisfactory lower peak sidelobe level and ripple. The method greatly reduces the computational time than the conventional method of calculating beam patterns. The dynamic range ratio of the excitation amplitudes are kept below a threshold level to reduce the design complexity of the attenuators at the feed network level and to minimize the effect of mutual coupling among the array elements.

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Design of planar thinned arrays using a Boolean differential evolution algorithm

Cited by 62 publications

References 9 publications

A Compact Tri-Band Antenna Design Using Boolean Differential Evolution Algorithm

A Compact Tri-Band Antenna Design Using Boolean Differential Evolution Algorithm

Synthesis of Thinned Array With Side Lobe Levels Reduction Using Improved Binary Invasive Weed Optimization

Combination of differential evolution algorithm and fast fourier transform for synthesis of footprint patterns from rectangular planar array

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