eprintid: 465
rev_number: 4
eprint_status: archive
userid: 5
dir: disk0/00/00/04/65
datestamp: 2011-02-25
lastmod: 2013-07-01 09:31:48
status_changed: 2013-07-01 09:31:48
type: techreport
metadata_visibility: show
item_issues_count: 0
creators_name: Rocca, Paolo
creators_name: Manica, Luca
creators_name: Massa, Andrea
title: Ant Colony Based Hybrid Approach for Optimal Compromise Sum-Difference Patterns Synthesis
ispublished: pub
subjects: TU
full_text_status: public
keywords: Sum and Difference Patterns Synthesis, Ant Colony Optimization, Hybrid Optimization
abstract: Dealing with the synthesis of monopulse array antennas, many stochastic optimization algorithms have been used for the solution of the so-called optimal compromise problem between sum and difference patterns when sub-arrayed feed networks are considered. More recently, hybrid approaches, exploiting the convexity of the functional with respect to a sub-set of the unknowns (i.e., the sub-array excitation coefficients) have demonstrated their effectiveness. In this letter, an hybrid approach based on the Ant Colony Optimization (ACO) is proposed. At the first step, the ACO is used to define the sub-array membership of the array elements, while, at the second step, the sub-array weights are computed by solving a convex programming problem. The definitive version is available at www3.interscience.wiley.com
date: 2010-01
date_type: published
institution: University of Trento
department: informaticat
refereed: TRUE
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citation:   Rocca, Paolo and Manica, Luca and Massa, Andrea  (2010) Ant Colony Based Hybrid Approach for Optimal Compromise Sum-Difference Patterns Synthesis.  [Technical Report]     
document_url: http://www.eledia.org/students-reports/465/1/DISI-11-020.pdf