Design of very thin wide band absorbers using modified local best particle swarm optimization

Chamaani, Somayyeh; Mirtaheri, Seyed Abdullah; Shooredeli, Mahdi Aliyari

doi:10.1016/j.aeue.2007.06.001

Cited by 25 publications

(28 citation statements)

References 12 publications

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“…Lossy Magnetic Materials ( = 15, = 0) Lossy Dielectric Materials (µ = 1, µ = 0) The values of the GSA run parameters were as follows [12]: N = 20, G 0 = 100, α = 20, R norm = 2 and the maximum number of iterations is 1000; where N is the number of agents, G 0 and α are the initial gravitational constants, and R norm is the Euclidian distance between any two agents. Table 1 shows the pre-defined materials database used in the optimization [7,10,11,18].…”

Section: Numerical Resultsmentioning

confidence: 99%

“…This can be expressed as minimizing the overall reflection coefficient of the multilayer absorberR 0,1 (within a specific range of frequencies). Moreover, a condition on the total thickness of the absorber can be set while searching for the optimum solution [7,10,18,19].…”

Section: Formulation Of the Problemmentioning

confidence: 99%

“…The big challenge in designing an absorber is the minimization of the reflection coefficient of an incident wave on a multilayer structure for a range of frequencies and incidence angles [3,4]. So, evolutionary optimization techniques such as particle-swarm optimization (PSO) [5][6][7], differential evolution (DE) [8][9][10][11], gravitational search algorithm (GSA) [12], central force optimization technique (CFO) [13][14][15][16][17], and genetic algorithms [18,19] can be used to overcome this challenge.…”

Section: Introductionmentioning

confidence: 99%

“…In recent years, this technique has been widely applied in various disciplines in science and engineering such as applications to large-scale, highly nonlinear, and multimodal optimization problems. Recently, PSO has been applied to the problem of multilayer microwave absorber design [7].…”

Section: Introductionmentioning

confidence: 99%

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Design of Multilayer Microwave Broadband Absorbers Using Central Force Optimization

Dib¹

2010

PIER B

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Abstract-Central Force Optimization (CFO) is a new multidimensional search metaheuristic based on the metaphor of gravitational kinematics. In this paper, for the first time, a modified CFO algorithm is applied to the optimal design of multilayer microwave absorbers (for normal incidence) in a specific frequency range. Several numerical examples are presented, in which the CFO results are compared with those found by other evolutionary algorithms. It is shown that the CFO results are comparable to those found by the self-adaptive differential evolution (SADE) algorithm and better than those found by particle swarm optimization (PSO) and gravitational search algorithm (GSA).

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Section: Numerical Resultsmentioning

confidence: 99%

Section: Formulation Of the Problemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Design of Multilayer Microwave Broadband Absorbers Using Central Force Optimization

Dib¹

2010

PIER B

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“…Here, each individual of the BLSA-SA algorithm is represented by a 112-bit binary string. The design results of BLSA-SA are compared with the results of LSA, CFO and modified local best particle swarm optimization (MLPSO) [20]. Table 6 shows the best design results for the above four algorithms.…”

Section: Second Example (Seven-layer Design)mentioning

confidence: 99%

Design of Multilayer Microwave Absorbers Using Hybrid Binary Lightning Search Algorithm and Simulated Annealing

Lu¹,

Zhou²

2017

PIER B

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Abstract-In this paper, a hybrid algorithm of binary lightning search algorithm and simulated annealing (BLSA-SA) is proposed to optimize the design of multilayer microwave absorbers for normal incidence. The multilayer absorber is designed to find a set of coatings that minimize the reflection coefficient over the desired frequency. The design problem is translated into solving the binary problem. Three different design examples are presented to verify the performance of the BLSA-SA. The results show that the reflection coefficient and thickness of BLSA-SA are better than those of other heuristic algorithms for multilayer absorber design. In the five-layer design, the standard deviation of BLSA-SA is the smallest among the 20 independent test results of the algorithms, which indicates that the BLSA-SA algorithm, has a strong stability.

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Optimization of multilayer electromagnetic shields: A genetic algorithm approach

Sagalianov

Вовченко

Matzui

et al. 2016

Materialwissenschaft Werkst

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Composites filled with carbon nanoplatelets designed as multi-layer electromagnetic shields are considered because of their interesting electromagnetic characteristics, such as high electrical conductivity and excellent microwave absorption and shielding behaviour. Layers disposal, their composition and electrical parameters, number and thicknesses are optimized through a real-coded genetic algorithm to achieve the minimization of the transmitted waves and minimization of reflection loss of the absorbing composites as coating on metal surface. Numerical design of wide frequency band radar absorbing multi-layer composite structures and highly shielding structures are presented and compared with experimental results.

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Design of very thin wide band absorbers using modified local best particle swarm optimization

Cited by 25 publications

References 12 publications

Design of Multilayer Microwave Broadband Absorbers Using Central Force Optimization

Design of Multilayer Microwave Broadband Absorbers Using Central Force Optimization

Design of Multilayer Microwave Absorbers Using Hybrid Binary Lightning Search Algorithm and Simulated Annealing

Optimization of multilayer electromagnetic shields: A genetic algorithm approach

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