Open AccessAntenna design using dynamic multi‐objective evolutionary algorithm
Author(s) -
Jiao Ruwang,
Sun Yongzhi,
Sun Jianqing,
Jiang Yuhong,
Zeng Sanyou
Publication year - 2018
Publication title -
iet microwaves, antennas and propagation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.555
H-Index - 69
eISSN - 1751-8733
pISSN - 1751-8725
DOI - 10.1049/iet-map.2018.5298
Subject(s) - antenna (radio) , reconfigurable antenna , computer science , robustness (evolution) , antenna measurement , evolutionary algorithm , algorithm , electronic engineering , radiation pattern , engineering , antenna efficiency , telecommunications , artificial intelligence , biochemistry , chemistry , gene
To enhance the robustness and stability of the antenna design, a novel methodology is presented for modelling the antenna design problem as the constrained optimisation problem (COP). Then a framework is introduced for solving the COP. The framework converts a COP into an equivalent dynamic constrained multi‐objective optimisation problem (DCMOP). A dynamic constrained multi‐objective evolutionary algorithm is applied to address the transformed DCMOP, which means the COP as well as the antenna design problem can be solved. Then it is applied to design three classes of antennas: a wire antenna, a patch antenna and an antenna array. Obtained results of these three kinds of antenna suggest that the proposed methods can well satisfy the antenna design requirements.