META-PSO in array optimization problems

M. Mussetta; S. Selleri; P. Pirinoli; R. E. Zich; L. Matekovits

META-PSO in array optimization problems

M. Mussetta^*, S. Selleri, P. Pirinoli, R. E. Zich, L. Matekovits

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

Abstract

Particle Swarm is a relatively novel approach for global stochastic optimization. In this contribution some variations over the basic algorithm are proposed, aimed at a more efficient search over the solution space obtained with a negligible overhead in both complexity and speed. The presented algorithms were previously checked on specific mathematical test function and show their superior capabilities with respect to the conventional version. Here the parametric study refers to a linear broadside array for which two different schemes are considered: position-only and position and amplitude.

Original language	English
Title of host publication	Proceedings of The European Conference on Antennas and Propagation: EuCAP 2006
Place of Publication	Noordwijk, Netherlands
Publisher	ESA Publications Division
Volume	626 SP
ISBN (Print)	9290929375, 9789290929376
Publication status	Published - Oct 2006
Externally published	Yes
Event	European Conference on Antennas and Propagation: EuCAP 2006 - Nice, France Duration: 6 Nov 2006 → 10 Nov 2006

Other

Other	European Conference on Antennas and Propagation: EuCAP 2006
Country/Territory	France
City	Nice
Period	6/11/06 → 10/11/06

Cite this

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title = "META-PSO in array optimization problems",

abstract = "Particle Swarm is a relatively novel approach for global stochastic optimization. In this contribution some variations over the basic algorithm are proposed, aimed at a more efficient search over the solution space obtained with a negligible overhead in both complexity and speed. The presented algorithms were previously checked on specific mathematical test function and show their superior capabilities with respect to the conventional version. Here the parametric study refers to a linear broadside array for which two different schemes are considered: position-only and position and amplitude.",

author = "M. Mussetta and S. Selleri and P. Pirinoli and Zich, {R. E.} and L. Matekovits",

year = "2006",

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AU - Mussetta, M.

AU - Selleri, S.

AU - Pirinoli, P.

AU - Zich, R. E.

AU - Matekovits, L.

PY - 2006/10

Y1 - 2006/10

N2 - Particle Swarm is a relatively novel approach for global stochastic optimization. In this contribution some variations over the basic algorithm are proposed, aimed at a more efficient search over the solution space obtained with a negligible overhead in both complexity and speed. The presented algorithms were previously checked on specific mathematical test function and show their superior capabilities with respect to the conventional version. Here the parametric study refers to a linear broadside array for which two different schemes are considered: position-only and position and amplitude.

AB - Particle Swarm is a relatively novel approach for global stochastic optimization. In this contribution some variations over the basic algorithm are proposed, aimed at a more efficient search over the solution space obtained with a negligible overhead in both complexity and speed. The presented algorithms were previously checked on specific mathematical test function and show their superior capabilities with respect to the conventional version. Here the parametric study refers to a linear broadside array for which two different schemes are considered: position-only and position and amplitude.

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M3 - Conference proceeding contribution

AN - SCOPUS:33847352837

SN - 9290929375

SN - 9789290929376

VL - 626 SP

BT - Proceedings of The European Conference on Antennas and Propagation: EuCAP 2006

PB - ESA Publications Division

CY - Noordwijk, Netherlands

T2 - European Conference on Antennas and Propagation: EuCAP 2006

Y2 - 6 November 2006 through 10 November 2006

ER -

META-PSO in array optimization problems

Abstract

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