scholarly journals FREQUENCY-DOMAIN ANALYSES OF NONLINEARLY LOADED ANTENNA ARRAYS USING SIMULATED ANNEALING ALGORITHMS

2005 ◽  
Vol 53 ◽  
pp. 271-281 ◽  
Author(s):  
Kun-Chou Lee
Author(s):  
Roberto Benedetti ◽  
Maria Michela Dickson ◽  
Giuseppe Espa ◽  
Francesco Pantalone ◽  
Federica Piersimoni

AbstractBalanced sampling is a random method for sample selection, the use of which is preferable when auxiliary information is available for all units of a population. However, implementing balanced sampling can be a challenging task, and this is due in part to the computational efforts required and the necessity to respect balancing constraints and inclusion probabilities. In the present paper, a new algorithm for selecting balanced samples is proposed. This method is inspired by simulated annealing algorithms, as a balanced sample selection can be interpreted as an optimization problem. A set of simulation experiments and an example using real data shows the efficiency and the accuracy of the proposed algorithm.


2010 ◽  
Vol 33 (2) ◽  
pp. 398-408 ◽  
Author(s):  
Moysés Nascimento ◽  
Cosme Damião Cruz ◽  
Luiz Alexandre Peternelli ◽  
Ana Carolina Mota Campana

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