Some variations of the particle swarm optimization are here proposed in order to increase the efficiency of the search over the solution space with a negligible overhead in the algorithm complexity and speed. The recently developed Differentiated and Undifferentiated Meta-PSO Technique have been compared in terms of capability and speed of convergence by their application to different test functions; analyses of the optimization technique performances are provided, with respect to the standard PSO convergence rate. Moreover, this paper presents the application of the developed procedures to the optimization of a linear array antenna for mobile dual-band applications.

Development and validation of differentiated and undifferentiated Meta-PSO Techniques for electromagnetics / M. Mussetta;P. Pirinoli;S. Selleri;R.E. Zich. - STAMPA. - (2008), pp. 3833-3836. (Intervento presentato al convegno 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence) tenutosi a Hong Kong, China, nel 1-6 June 2008) [10.1109/CEC.2008.4631318].

Development and validation of differentiated and undifferentiated Meta-PSO Techniques for electromagnetics

SELLERI, STEFANO;
2008

Abstract

Some variations of the particle swarm optimization are here proposed in order to increase the efficiency of the search over the solution space with a negligible overhead in the algorithm complexity and speed. The recently developed Differentiated and Undifferentiated Meta-PSO Technique have been compared in terms of capability and speed of convergence by their application to different test functions; analyses of the optimization technique performances are provided, with respect to the standard PSO convergence rate. Moreover, this paper presents the application of the developed procedures to the optimization of a linear array antenna for mobile dual-band applications.
2008
2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence)
2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence)
Hong Kong, China,
1-6 June 2008
M. Mussetta;P. Pirinoli;S. Selleri;R.E. Zich
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/770998
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