Ant Colony Optimization to Design Thinned Arrays

Mosca, Stefano; Ciattaglia, M.

doi:10.1109/aps.2006.1711682

Cited by 14 publications

(8 citation statements)

References 5 publications

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“…Different optimization techniques including genetic algorithm (GA), particle swarm optimization (PSO) , ant colony and simulated annealing (SA) have been used for generating thinned arrays [2]- [9]. On the other hand, aperiodic arrays can be obtained by optimizing the element spacing of the periodic arrays or already thinned arrays.…”

Section: Introductionmentioning

confidence: 99%

Application of Invasive Weed Optimization in designing aperiodic antenna arrays using dipole models

Karimkashi

Kishk

Zhang

2011

2011 IEEE International Symposium on Antennas and Propagation (APSURSI)

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Section: Introductionmentioning

confidence: 99%

Application of Invasive Weed Optimization in designing aperiodic antenna arrays using dipole models

Karimkashi

Kishk

Zhang

2011

2011 IEEE International Symposium on Antennas and Propagation (APSURSI)

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“…In order to switch off as many elements as possible, i.e., by satisfying the constraints of interest, several methods related to different approaches can be applied. Global or evolutionary optimization schemes, such as Genetic Algorithms (GA) (and advanced versions) [11,12], Simulated Annealing (SA) [13,14] and Ant Colony Optimization (ACO) [15,16], can be found in a great amount of works regarding array thinning.…”

Section: Introductionmentioning

confidence: 99%

Fast Synthesis of Planar, Maximally Thinned Arrays

Tumolo¹,

D’Urso²,

Prisco³

et al. 2017

PIER Letters

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In this paper a method for a fast synthesis of planar, maximally thinned and steerable arrays is proposed and tested on several benchmarks available in literature. The method optimizes simultaneously the weight coefficients and sensor positions of a planar array without using global optimization schemes, properly exploiting convex optimization based algorithms. The resulting arrays are able to radiate a steerable beam pattern, satisfying a prescribed power mask and avoid to constraint the fitting of any a priori assigned reference field pattern. Although such a method takes into account the general case of sparse arrays, this letter is focused on the case of thinned arrays as a special case of sparse ones, since the initial grid to thin on has only half-wavelength distances. Such a feature allows a faster synthesis than in the general case of sparse arrays.

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“…Deterministic approaches have been first adopted, but they did not show significant improvements with respect to the random element placement [2], [3]. Recently, dynamic program [4] and stochastic optimization techniques, including Genetic Algorithm (GA) [5], simulated annealing (SA) [6], [7], and Ant Colony Optimization (ACO) [8], [9], have been appliedtothe optimizationofthinned array. The obtained results are remarkable, even if they could be further improved.…”

Section: Introductionmentioning

confidence: 99%

Modified Compact Genetic Algorithm for Thinned Array Synthesis

Mussetta

Pirinoli

et al. 2016

Antennas Wirel. Propag. Lett.

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In this letter, a new optimization algorithm, the Modified compact Genetic Algorithm (M-cGA) is introduced and applied to the synthesis of thinned arrays. The M-cGA has been derived from the compact Genetic Algorithm (cGA), properly modified and improved by implementing more than one probability vector (PV) and adding suitable learning scheme between these PVs. The so-obtained algorithm has been applied to the optimized synthesis of different-size linear and planar thinned arrays: In all the considered cases, it outperforms not only the cGA, but also the other optimization schemes previously applied to this kind of problem, both in terms of goodness of the solution (minimization of the peak sidelobe level) and of computational cost

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Ant Colony Optimization to Design Thinned Arrays

Cited by 14 publications

References 5 publications

Application of Invasive Weed Optimization in designing aperiodic antenna arrays using dipole models

Application of Invasive Weed Optimization in designing aperiodic antenna arrays using dipole models

Fast Synthesis of Planar, Maximally Thinned Arrays

Modified Compact Genetic Algorithm for Thinned Array Synthesis

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