1996
DOI: 10.1109/78.482017
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Abstract: Abstruct-Simulated annealing is applied to the synthesis of arrays in order to reduce the peaks of side lobes by acting on the elements' positions and weight coefficients. In the case considered, the number of array elements and the spatial aperture of an unequally spaced array are a priori fixed. Thanks to the high flexibility of simulated annealing, the results obtained for a 25-element array over an aperture of 50X improve those reported in the literature.

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Cited by 305 publications
(160 citation statements)
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“…In this regard, recently, a large amount of efforts have been made to develop feasible techniques for the synthesis of non-uniform arrays. To name a few, these available techniques include optimization algorithms such as the simulated annealing method (SA) [3], analytical methods [4], and other synthesis techniques such as matrix pencil method [5]. Despite the success of the aforementioned synthesis techniques in reducing the number of elements in a completely nonuniform antenna array, the situation with respect to both solution quality and solution efficiency of these techniques is still unsatisfactory considering the following facts:…”
Section: Introductionmentioning
confidence: 99%
“…In this regard, recently, a large amount of efforts have been made to develop feasible techniques for the synthesis of non-uniform arrays. To name a few, these available techniques include optimization algorithms such as the simulated annealing method (SA) [3], analytical methods [4], and other synthesis techniques such as matrix pencil method [5]. Despite the success of the aforementioned synthesis techniques in reducing the number of elements in a completely nonuniform antenna array, the situation with respect to both solution quality and solution efficiency of these techniques is still unsatisfactory considering the following facts:…”
Section: Introductionmentioning
confidence: 99%
“…P Victoria Florence in [10] have applied APSO and achieved optimized excitation amplitudes and element spacing and obtained desired side lobe level minimization and Null depths. Murino et.al in [11] have applied SA for antenna array synthesis in order to reduce the peaks in side lobes by adjusting array positions and weights of arrays. Haffane Ahmed in [12] have applied CS for excitation amplitudes and obtained optimized antenna parameters.…”
Section: Introductionmentioning
confidence: 99%
“…Generally, the design problem is formulated as an optimization problem. The design of antenna arrays has a nonlinear and non-convex dependence of elements parameters [Kurup et al 2003], because of that, the interest has been focused on stochastic search techniques, such as simulated annealing (Murino et al, 1996), and mainly, genetic algorithms (GA's) (Ares-Pena et al, 1999;Haupt, 1994;Haupt, 1995;Panduro et al, 2005;Rahmat-Samii et al, 1999;Weile et al, 1997;Yan et al, 1997), widely used in electromagnetic problems, including the synthesis of phased antenna arrays (Mailloux, 2005;Hansen, 1998). The antenna arrays optimization for improving performance represents an open line of r e s e a r c h i n t h e a n t e n n a d e s i g n f i e l d .…”
Section: Introductionmentioning
confidence: 99%