Optimum design of non-uniform symmetrical linear antenna arrays using a novel modified invasive weeds optimization

This paper presents a new modified method for the synthesis of non-uniform linear antenna arrays. Based on the recently developed invasive weeds optimization technique (IWO), the modified invasive weeds optimization method (MIWO) uses the mutation process for the calculation of standard deviation (S...

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Main Authors: Kenane El Hadi, Djahli Farid
Format: Article
Language:English
Published: Polish Academy of Sciences 2016-03-01
Series:Archives of Electrical Engineering
Subjects:
Online Access:http://www.degruyter.com/view/j/aee.2016.65.issue-1/aee-2016-0001/aee-2016-0001.xml?format=INT
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spelling doaj-f808519bdb964255bc4ee95ac5b8968b2020-11-25T03:24:40ZengPolish Academy of SciencesArchives of Electrical Engineering2300-25062016-03-0165151810.1515/aee-2016-0001aee-2016-0001Optimum design of non-uniform symmetrical linear antenna arrays using a novel modified invasive weeds optimizationKenane El Hadi0Djahli Farid1Institute of Electrical Engineering and Electronics University of M’sila M’sila, 28000, AlgeriaLIS Laboratory, Institute of Electronics University of Setif 1 19000 Setif, AlgeriaThis paper presents a new modified method for the synthesis of non-uniform linear antenna arrays. Based on the recently developed invasive weeds optimization technique (IWO), the modified invasive weeds optimization method (MIWO) uses the mutation process for the calculation of standard deviation (SD). Since the good choice of SD is particularly important in such algorithm, MIWO uses new values of this parameter to optimize the spacing between the array elements, which can improve the overall efficiency of the classical IWO method in terms of side lobe level (SLL) suppression and nulls control. Numerical examples are presented and compared to the existing array designs found in the literature, such as ant colony optimization (ACO), particle swarm optimization (PSO), and comprehensive learning PSO (CLPSO). Results show that MIWO method can be a good alternative in the design of non-uniform linear antenna array.http://www.degruyter.com/view/j/aee.2016.65.issue-1/aee-2016-0001/aee-2016-0001.xml?format=INTinvasive weeds optimizationnon uniform linear arrayoptimizationsynthesis
collection DOAJ
language English
format Article
sources DOAJ
author Kenane El Hadi
Djahli Farid
spellingShingle Kenane El Hadi
Djahli Farid
Optimum design of non-uniform symmetrical linear antenna arrays using a novel modified invasive weeds optimization
Archives of Electrical Engineering
invasive weeds optimization
non uniform linear array
optimization
synthesis
author_facet Kenane El Hadi
Djahli Farid
author_sort Kenane El Hadi
title Optimum design of non-uniform symmetrical linear antenna arrays using a novel modified invasive weeds optimization
title_short Optimum design of non-uniform symmetrical linear antenna arrays using a novel modified invasive weeds optimization
title_full Optimum design of non-uniform symmetrical linear antenna arrays using a novel modified invasive weeds optimization
title_fullStr Optimum design of non-uniform symmetrical linear antenna arrays using a novel modified invasive weeds optimization
title_full_unstemmed Optimum design of non-uniform symmetrical linear antenna arrays using a novel modified invasive weeds optimization
title_sort optimum design of non-uniform symmetrical linear antenna arrays using a novel modified invasive weeds optimization
publisher Polish Academy of Sciences
series Archives of Electrical Engineering
issn 2300-2506
publishDate 2016-03-01
description This paper presents a new modified method for the synthesis of non-uniform linear antenna arrays. Based on the recently developed invasive weeds optimization technique (IWO), the modified invasive weeds optimization method (MIWO) uses the mutation process for the calculation of standard deviation (SD). Since the good choice of SD is particularly important in such algorithm, MIWO uses new values of this parameter to optimize the spacing between the array elements, which can improve the overall efficiency of the classical IWO method in terms of side lobe level (SLL) suppression and nulls control. Numerical examples are presented and compared to the existing array designs found in the literature, such as ant colony optimization (ACO), particle swarm optimization (PSO), and comprehensive learning PSO (CLPSO). Results show that MIWO method can be a good alternative in the design of non-uniform linear antenna array.
topic invasive weeds optimization
non uniform linear array
optimization
synthesis
url http://www.degruyter.com/view/j/aee.2016.65.issue-1/aee-2016-0001/aee-2016-0001.xml?format=INT
work_keys_str_mv AT kenaneelhadi optimumdesignofnonuniformsymmetricallinearantennaarraysusinganovelmodifiedinvasiveweedsoptimization
AT djahlifarid optimumdesignofnonuniformsymmetricallinearantennaarraysusinganovelmodifiedinvasiveweedsoptimization
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