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Your search keyword '"Pelosi, Giuseppe"' showing total 5 results
Start Over Author "Pelosi, Giuseppe" Topic genetic algorithms
5 results on '"Pelosi, Giuseppe"'

1. A Novel Multiobjective Taguchi's Optimization Technique for Multibeam Array Synthesis.

Author

Pelosi, Giuseppe, Selleri, Stefano, and Taddei, Ruggero

Subjects
*TAGUCHI methods, *ELECTROMAGNETIC fields, *STOCHASTIC convergence, *MATHEMATICAL optimization, *ANTENNA arrays, *GENETIC algorithms
Abstract

ABSTRACT Taguchi's method is a quality design technique recently expanded to multiobjective optimization and electromagnetic engineering problems. This novel technique is applied here to multibeam array synthesis and compared to a standard multiobjective genetic algorithm. Results indicate fast convergence, good spreading, and a good number of nondominated solutions. © 2013 Wiley Periodicals, Inc. Microwave Opt Technol Lett 55:1836-1840, 2013 [ABSTRACT FROM AUTHOR]

Published
2013
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2. Taguchi's method for multi-objective optimization problems.

Author

Agastra, Elson, Pelosi, Giuseppe, Selleri, Stefano, and Taddei, Ruggero

Subjects
*ANTENNAS (Electronics), *MATHEMATICAL optimization, *GENETIC algorithms, *STOCHASTIC convergence, *PERFORMANCE evaluation, *NUMERICAL analysis, *TAGUCHI methods
Abstract

Taguchi's method is a quality design technique whose applications in numerical single-objective optimization have been recently exploited. In this article, a novel multi-objective (MO) algorithm based on Taguchi's technique is illustrated and its performances assessed. Validation is performed through a comparison between the presented algorithm and a MO genetic algorithm (GA) based optimization, first on different sets of test functions and then on a practical antenna array synthesis problem. Results indicate a generally better behavior of the proposed algorithm in terms of convergence and spreading over the Pareto front with respect to the GA benchmark. © 2012 Wiley Periodicals, Inc. Int J RF and Microwave CAE , 2013. [ABSTRACT FROM AUTHOR]

Published
2013
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3. Modified NSGA-II algorithm for multiobjective optimization of compact high-efficiency square horns.

Author

Agastra, Elson, Lucci, Leonardo, Nesti, Renzo, Pelosi, Giuseppe, and Selleri, Stefano

Subjects
HORN antennas, GENETIC algorithms, MATHEMATICAL optimization, ENERGY consumption, ANTENNAS (Electronics), MICROWAVES, MICROWAVE lenses
Abstract

High efficiency, compactness, light weight and low return loss are of high importance in antennas, especially in space applications. In this contribution a modified nondominated sorting genetic algorithm (NSGA-II) is applied to the design of Horn antennas for discrete lens applications to achieve a Pareto-optimal solution. Horn design is aimed not only towards higher possible efficiency but also towards large band and compactness. © 2011 Wiley Periodicals, Inc. Int J RF and Microwave CAE, 2011. [ABSTRACT FROM AUTHOR]

Published
2011
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4. Finite element design of CNT-based multilayer absorbers.

Author

d'Elia, Ugo, Pelosi, Giuseppe, Selleri, Stefano, and Taddei, Ruggero

Subjects
*CARBON nanotubes, *FINITE element method, *ARTIFICIAL neural networks, *GENETIC algorithms, *MATHEMATICAL optimization
Abstract

Purpose – A design procedure for multi-layer absorbers based on carbon nanotubes (CNT) frequency selective surfaces (FSS) sheets is here developed. The paper aims to discuss there issues. Design/methodology/approach – Single layer FSS are first analyzed via finite element (FE). Then equivalent sheets admittances are extracted in a transmission line model. Neural networks (NNs) interpolation over this data and subsequent multi-objective genetic algorithm (GA) based optimizations are then performed to design multiple layers absorbing structures. Designs are finally validated via full wave FEM simulations. Findings – In this paper, some absorbing structures made of three or four FSS sheets with total thicknesses around 6 mm are synthesized. Research limitations/implications – NNs' accuracy used in the equivalent model can be refined with further training. Practical implications – Low profile absorbing materials are of relevant industrial interest both for radar cloaking and anechoic chambers. Originality/value – The transmission line model combined with NNs and GA optimization is capable of speeding up the design procedure with respect to a conventional full-wave FEM approach. [ABSTRACT FROM AUTHOR]

Published
2013
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5. Genetic Algorithms for the Determination of the Nonlinearity Model Coefficients in Passive Intermodulation Scattering.

Author

Selleri, Stefano, Bolli, Pietro, and Pelosi, Giuseppe

Subjects
GENETIC algorithms, ELECTROMAGNETIC fields, MAGNETIC fields, FIELD theory (Physics), GEOMAGNETISM, COMBINATORIAL optimization
Abstract

Zones with nonlinear behavior on an object cause intermodulated components in the scattered electromagnetic field. This problem is relevant both for satellite communications and for radio-astronomical applications. Recently, a heuristic model for the passive intermodulation analysis has been derived in a time domain physical optics framework. The heuristic approach proposed requires the determination of few coefficients. Here, a genetic algorithm is introduced for the computation of the optimum values for these coefficients. [ABSTRACT FROM AUTHOR]

Published
2004
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