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...
Main Authors: | , |
---|---|
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 |
id |
doaj-f808519bdb964255bc4ee95ac5b8968b |
---|---|
record_format |
Article |
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 |
_version_ |
1724600684931710976 |