TY - JOUR
T1 - GUI design exploration software for microwave antennas
AU - Liu, Bo
AU - Irvine, Alexander
AU - Akinsolu, Mobayode O.
AU - Arabi, Omer
AU - Grout, Vic
AU - Ali, Nazar
N1 - Publisher Copyright:
© 2017 Society for Computational Design and Engineering
PY - 2017/10/1
Y1 - 2017/10/1
N2 - Optimizers in commercial electromagnetic (EM) simulation software packages are the main tools for performing antenna design exploration today. However, these general purpose optimizers are facing challenges in optimization efficiency, supported optimization types and usability for antenna experts without deep knowledge on optimization. Aiming to fill the gaps, a new antenna design exploration tool, called Antenna Design Explorer (ADE), is presented in this paper. The key features are: (1) State-of-the-art antenna design exploration methods are selected and embedded, addressing efficient antenna optimization (critical but unable to be solved by existing tools) and multiobjective antenna optimization (not available in most existing tools); (2) Human-computer interaction for the targeted problem is studied, addressing various usability issues for antenna design engineers, such as automatic algorithmic parameter setting and interactive stopping criteria; (3) Compatibility with existing tools is studied and ADE is able to co-work with existing EM simulators and optimizers, combining advantages. A case study verifies the advantages of ADE.
AB - Optimizers in commercial electromagnetic (EM) simulation software packages are the main tools for performing antenna design exploration today. However, these general purpose optimizers are facing challenges in optimization efficiency, supported optimization types and usability for antenna experts without deep knowledge on optimization. Aiming to fill the gaps, a new antenna design exploration tool, called Antenna Design Explorer (ADE), is presented in this paper. The key features are: (1) State-of-the-art antenna design exploration methods are selected and embedded, addressing efficient antenna optimization (critical but unable to be solved by existing tools) and multiobjective antenna optimization (not available in most existing tools); (2) Human-computer interaction for the targeted problem is studied, addressing various usability issues for antenna design engineers, such as automatic algorithmic parameter setting and interactive stopping criteria; (3) Compatibility with existing tools is studied and ADE is able to co-work with existing EM simulators and optimizers, combining advantages. A case study verifies the advantages of ADE.
KW - Antenna design optimization
KW - Antenna synthesis
KW - Multiobjective optimization
KW - Software tool
KW - Surrogate model assisted evolutionary algorithm
UR - http://www.scopus.com/inward/record.url?scp=85036612801&partnerID=8YFLogxK
U2 - 10.1016/j.jcde.2017.04.001
DO - 10.1016/j.jcde.2017.04.001
M3 - Article
AN - SCOPUS:85036612801
SN - 2288-4300
VL - 4
SP - 274
EP - 281
JO - Journal of Computational Design and Engineering
JF - Journal of Computational Design and Engineering
IS - 4
ER -