Creation of new shapes for resonant microstrip structures by means of genetic algorithms

Delabie, Christophe; Villegas, Martine; Picon, Odile

doi:10.1049/el:19971017

Cited by 28 publications

(6 citation statements)

References 3 publications

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“…In our GA optimization, we use a twodimensional chromosome to encode each patch shape into a binary map [6]. The subpatches remained are represented by ones, and those subtracted are represented by zeros.…”

Section: Ga Optimizationmentioning

confidence: 99%

Genetic algorithm optimization of broadband microstrip antenna

Sun

Zhang

et al. 2010

Front. Electr. Electron. Eng. China

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Genetic algorithm (GA) is utilized to design microstrip patch antenna shapes for broad bandwidth. A new project based on GA and high frequency simulation software (HFSS) is proposed to perform optimization. Reasonable agreement between simulated results and measured results of the GA-optimized design is obtained. The optimized patch design exhibits a three-fold enhancement in bandwidth when contrasted with a standard square microstrip antenna, showing the validity of this project.

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Section: Ga Optimizationmentioning

confidence: 99%

Genetic algorithm optimization of broadband microstrip antenna

Sun

Zhang

et al. 2010

Front. Electr. Electron. Eng. China

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“…Recently, optimization methods have been introduced for antennas aimed at either improving the current design or at speeding up the design process [3]- [5]. The combination of various optimization methods and numerical techniques such as the method of moments (MoM) further enables the optimization of complicated patch antennas and layered EM devices [6]- [8].…”

Section: Design Optimization Of Conformal Antennas By Integrating Stomentioning

confidence: 99%

“…Creation of irregular patch and frequency-selective surface (FSS) shapes have also been investigated for various purposes. Previous work includes -factor improvements using a combination of finite-difference time-domain (FDTD) and genetic algorithms (GA) [5], and bandwidth improvement for patch antennas [3] and FSS shape design for microwave absorbers [9] with MoM and GA.…”

Section: Design Optimization Of Conformal Antennas By Integrating Stomentioning

confidence: 99%

Design optimization of conformal antennas by integrating stochastic algorithms with the hybrid finite-element method

Li¹,

Erdemli

Volakis

et al. 2002

IEEE Trans. Antennas Propagat.

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Previous work in antenna optimization has primarily focused on applications of optimization algorithms in conjunction with problem-specific or semi-analytic tools. However, recent developments in fast algorithms now offer the possibility of designs and moreover allow for full flexibility in material specification across three dimensions. As an example, this paper combines genetic algorithms (GA) and simulated annealing (SA) with fast hybrid finite-element boundary integral simulations to develop full three-dimensional (3-D) antenna designs using shape, topology, as well as material optimization. To illustrate these optimization methods as well as compare between GA and SA, three different antenna designs are considered. First, a folded-slot antenna is optimized for broad-band performance, followed by an irregular-shaped dual-band antenna design. As a third design, which combines shape and material optimization, a bandgap substrate is designed to substantially increase the bandwidth of a patch residing on the optimized substrate.

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“…It was primarily applied to the electromagnetic (EM) engineering field in 1996 [8], and the first design instance was magnetic bearings with minimum power dissipation. After that, topology optimization was implemented for antenna design problems [9]; it especially has gained much attention in the design of patch antennas [10][11][12][13][14][15][16][17][18][19][20][21][22] and monopole antennas [22][23][24][25][26][27][28]. However, only few studies have been done on other types of antennas such as chip antennas [29], planar-inverted-F antennas [30], handset antennas [31], and mobile antennas [32] using topology optimization.…”

Section: Introductionmentioning

confidence: 99%

A Building-Block Favoring Method for the Topology Optimization of Internal Antenna Design

Chen

2015

International Journal of Antennas and Propagation

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This paper proposes a new design technique for internal antenna development. The proposed method is based on the framework of topology optimization incorporated with three effective mechanisms favoring the building blocks of associated optimization problems. Conventionally, the topology optimization of antenna structures discretizes a design space into uniform and rectangular pixels. However, the defining length of the resultant building blocks is so large that the problem difficulty arises; furthermore, the order of the building blocks becomes extremely high, so genetic algorithms (GAs) and binary particle swarm optimization (BPSO) are not more efficient than the random search algorithm. In order to form tight linkage groups of building blocks, this paper proposes a novel approach to handle the design details. In particular, a nonuniform discretization is adopted to discretize the design space, and the initialization of GAs is assigned as orthogonal arrays (OAs) instead of a randomized population; moreover, the control map of GAs is constructed by ensuring the schema growth based on the generalized schema theorem. By using the proposed method, two internal antennas are thus successfully developed. The simulated and measured results show that the proposed technique significantly outperforms the conventional topology optimization.

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Creation of new shapes for resonant microstrip structures by means of genetic algorithms

Cited by 28 publications

References 3 publications

Genetic algorithm optimization of broadband microstrip antenna

Genetic algorithm optimization of broadband microstrip antenna

Design optimization of conformal antennas by integrating stochastic algorithms with the hybrid finite-element method

A Building-Block Favoring Method for the Topology Optimization of Internal Antenna Design

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