eprintid: 413
rev_number: 6
eprint_status: archive
userid: 5
dir: disk0/00/00/04/13
datestamp: 2004-09-01
lastmod: 2013-07-02 11:37:14
status_changed: 2013-07-02 11:37:14
type: techreport
metadata_visibility: show
item_issues_count: 0
creators_name: Donelli, Massimo
creators_name: Caorsi, Salvatore
creators_name: De Natale, Francesco
creators_name: Franceschini, Davide
creators_name: Massa, Andrea
title: A Versatile Enhanced Genetic Algorithm for Planar Array Design
ispublished: submitted
subjects: TU
full_text_status: public
abstract: In order to synthesize planar, sparse, and aperiodic arrays, a numerical procedure based on an enhanced genetic algorithm is proposed. The method maximizes a suitably defined single-objective fitness function iteratively acting on the states and the weights of the elements of the array. Such a cost function is related to the shape of the desired beam pattern, to the number of active elements and to others user-defined array-pattern constraints. To preliminarily assess the effectiveness of the approach, selected numerical experiments are performed. The obtained results seem to confirm its feasibility. Moreover, given the heterogeneity of the test benchmarks, the versatility is pointed out as a key-feature of the implemented methodology.
date: 2004-08
date_type: published
institution: University of Trento
department: informaticat
refereed: FALSE
referencetext: [1]  S. Holm, B. Elgetun, G. Dahl, "Properties of the beampattern of weight- and layout-optimized sparse arrays"; IEEE Trans. Ultrasonics, Ferroelectrics, and Frequency Control, vol. 44, pp 983-991, 1997. 
[2]  A. Trucco, "Thinning and weighting of large planar arrays by simulated annealing"; IEEE Trans. Ultrasonics, Ferroelectrics, and Frequency Control, vol. 46, pp. 347-355, 1999.  
[3]  D. E. Goldberg, Genetic Algorithms in Search, Optimization and Machine Learning. Addison-Wesley, Reading, MA, 1989. 
[4]  F. Ares-Pena, "Application of genetic algorithms and simulated annealing to some antenna problems"; in Electromagnetic Optimization by Genetic Algorithms, eds. Y. Rahmat-Samii and E. Michielssen, Wiley & Sons, pp. 119-154, 1999. 
[5]  D. S. Weile and E. Michielssen, "Integer-coded pareto genetic algorithm design of constrained antenna arrays"; Electronic Lett., vol. 32, pp. 1744-1745, 1996. 
[6]  J. H. Holland. Adaptation in Natural and Artificial Systems. University of Michigan Press, Ann Arbor, 1975. 
[7]  D. S. Weile and E. Michielssen, "Genetic algorithm optimization applied to electromagnetics: A review"; IEEE Trans. Antennas Propagat., vol. 45, pp. 343-353, 1997. 
[8]  Y. Rahmat-Samii and E. Michielssen, Electromagnetic Optimization by Genetic Algorithms. Wiley & Sons, New York, 1999. 
[9]  S. Caorsi, A. Massa, and M. Pastorino, "A computational technique based on a real-coded genetic algorithm for microwave imaging purposes"; IEEE Trans. Geoscience and Remote Sensing, vol. 38, pp. 1697-1708, 2000. 
[10]  L. Davis, Handbook of Genetic Algorithms. Van Nostrand Reinhold, 1991. 
[11]  E. Polak, Computational Methods. Academic Press, New York, 1971. 
[12]  Steinberg, Principles of Aperture and Array System Design. New York: Wiley, 1976. 
[13]  R. L. Haupt, "Thinned arrays using genetic algorithms"; IEEE Trans. Geoscience Antennas Propagat., vol. 42, pp. 993-999, 1994. 
citation:   Donelli, Massimo and Caorsi, Salvatore and De Natale, Francesco and Franceschini, Davide and Massa, Andrea  (2004) A Versatile Enhanced Genetic Algorithm for Planar Array Design.  [Technical Report]    (Submitted)  
document_url: http://www.eledia.org/students-reports/413/1/DIT-04-075.pdf