relation: http://www.eledia.org/students-reports/413/
title: A Versatile Enhanced Genetic Algorithm for Planar Array Design
creator: Donelli, Massimo
creator: Caorsi, Salvatore
creator: De Natale, Francesco
creator: Franceschini, Davide
creator: Massa, Andrea
subject: TU Technical Reports and Publications
description: 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
type: Technical Report
type: NonPeerReviewed
format: text
language: en
identifier: http://www.eledia.org/students-reports/413/1/DIT-04-075.pdf
identifier:   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)