1998
DOI: 10.1049/ip-map:19982041
|View full text |Cite
|
Sign up to set email alerts
|

Optimisation of synthesised array excitations using array polynome complex root swapping and genetic algorithms

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
3
0

Year Published

2002
2002
2014
2014

Publication Types

Select...
4
3

Relationship

0
7

Authors

Journals

citations
Cited by 9 publications
(3 citation statements)
references
References 4 publications
0
3
0
Order By: Relevance
“…Other optimisation algorithms, such as genetic algorithm (GA), particle swarm optimisation (PSO) and ant colony, are not often flexible enough to achieve desired SLL and ripple simultaneously. PSO is mainly used for sidelobe suppression [26,27] and GA is applicable to synthesis of shaped beam for array antennas [28][29][30][31].…”
Section: Reflector Surface Synthesis Using Fdiwomentioning
confidence: 99%
“…Other optimisation algorithms, such as genetic algorithm (GA), particle swarm optimisation (PSO) and ant colony, are not often flexible enough to achieve desired SLL and ripple simultaneously. PSO is mainly used for sidelobe suppression [26,27] and GA is applicable to synthesis of shaped beam for array antennas [28][29][30][31].…”
Section: Reflector Surface Synthesis Using Fdiwomentioning
confidence: 99%
“…However, the use of local optimization procedures, can miss the best attainable solution wasting the potentiality of the radiating system and of the synthesis approach [19][20][21][22][23][24][25][26].…”
Section: Introductionmentioning
confidence: 99%
“…Recent advances in the last decade focus on evolutionary computation, especially genetic algorithms (Markus and Vaskelainen, 1998;Yan and Lu, 1997;Shimizu, 1994;Ares-Pena et al, 1999;Moreno et al, 2005;Haupt, 2007). One of their major advantages is their predisposition to incorporate results from numerical simulations or measurements of antenna elements.…”
Section: Introductionmentioning
confidence: 99%