A comparison of multi-objective optimizers using a microstrip patch antenna test problem

Jogender Nagar, Douglas Henry Werner

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This study compares the convergence efficiency of three different multi-objective optimizers in the analysis of microstrip patch antennas. Each function evaluation is computationally expensive, making the convergence rate a critical factor in whether these algorithms are feasible for real-world antenna design and other electromagnetic applications. Each optimizer has a unique design philosophy to solve the problem. The optimizers chosen include a genetic algorithm (BORG), an evolutionary strategy (MOCMA-ES) and a scalarization algorithm (MOEAD). Tradeoffs between S11 and axial ratio bandwidth, front-to-back ratio and overall size are studied for a series of designs with increasing complexity.

Original languageEnglish (US)
Title of host publication2015 IEEE Antennas and Propagation Society International Symposium, APS 2015 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1332-1333
Number of pages2
ISBN (Electronic)9781479978151
DOIs
StatePublished - Oct 22 2015
EventIEEE Antennas and Propagation Society International Symposium, APS 2015 - Vancouver, Canada
Duration: Jul 19 2015Jul 24 2015

Publication series

NameIEEE Antennas and Propagation Society, AP-S International Symposium (Digest)
Volume2015-October
ISSN (Print)1522-3965

Other

OtherIEEE Antennas and Propagation Society International Symposium, APS 2015
CountryCanada
CityVancouver
Period7/19/157/24/15

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'A comparison of multi-objective optimizers using a microstrip patch antenna test problem'. Together they form a unique fingerprint.

  • Cite this

    Nagar, J., & Werner, D. H. (2015). A comparison of multi-objective optimizers using a microstrip patch antenna test problem. In 2015 IEEE Antennas and Propagation Society International Symposium, APS 2015 - Proceedings (pp. 1332-1333). [7305055] (IEEE Antennas and Propagation Society, AP-S International Symposium (Digest); Vol. 2015-October). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/APS.2015.7305055