2008
DOI: 10.2528/pier08061806
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Genetic Algorithm Optimization of High-Efficiency Wide-Band Multimodal Square Horns for Discrete Lenses

Abstract: 336 Agastra et al.Abstract-By properly exciting higher order modes at an aperture it is possible to achieve higher aperture efficiencies. High efficiency antennas are mandatory in many applications, as discrete lenses, since the single element efficiency deeply affects the efficiency of the whole lens. In this contribution a genetic algorithm is applied to the mode matching analysis of square horns to achieve high radiation efficiency over a relatively wide band.

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Cited by 36 publications
(39 citation statements)
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“…A method that GA uses for creating an individual vector, biologically called chromosome, which makes it different from the deterministic search processes [14][15][16][17][18].…”
Section: Introductionmentioning
confidence: 99%
“…A method that GA uses for creating an individual vector, biologically called chromosome, which makes it different from the deterministic search processes [14][15][16][17][18].…”
Section: Introductionmentioning
confidence: 99%
“…It is well known that the genetic algorithm is commonly used in high-dimensional optimization problems in many areas including electromagnetics [19,[21][22][23][24][25]. The genetic algorithm is a robust stochastic search method, which is modeled on the principles and the concepts of natural selection and evolution.…”
Section: Optimization Of the Metamaterials Absorber By Using The Genetmentioning
confidence: 99%
“…Thus, all the information needed by the PSO algorithm is contained in X, V , Pbest and Gbest. Then, the velocity in the nth dimension of the mth particle in (9) is updated according to [12],…”
Section: Particle Swarm Optimization and Application To The Amplifiermentioning
confidence: 99%
“…In fact, authors have experienced many algorithms with gradients/heuristics approaches [9][10][11] in the circuit synthesis process; in this work, "Particle Swarm Optimization" (PSO) algorithm is employed as a simple and efficient by the derivative-free optimization tool in the syntheses process of the matching networks. In fact, nowadays evolutionary optimization algorithms have applied a wide range of electromagnetic problems, such as genetic optimization of the wideband multimodal square horns for discrete lenses [12] and diffusion coefficient of the turbulent jet [13] PSO design of the electromagnetic absorbers [14], PSO synthesis of the phased arrays [15], cylindrical conformal arrays [16] and smart antennas [17], null placement and side lobe reduction of the radiation patterns for the linear arrays using the ant colony optimization [18]. On the other hand some culled hybrid approaches are generated to obtain more qualified algorithms for optimization problems: i.e., Initialization problem of the gradient-based algorithms are overcome by a good global optimum searcher PSO in [19]; in [20] combination of the GA with the PSO gives faster and more accurate results.…”
Section: Introductionmentioning
confidence: 99%