Towards demand-driven optimization algorithms in electromagnetic engineering (invited paper)

Maria Kovaleva, David Bulger, Karu P. Esselle

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

Abstract

With the increasing popularity of optimization algorithms in electromagnetic engineering, it is clear that mixed-variable design problems prevail. This paper shows that the Cross-Entropy (CE) optimization method is intrinsically versatile to handle these and other types of problems. We provide implementation details of two antenna examples optimized by the CE method to demonstrate its elegance and efficiency.

Original languageEnglish
Title of host publicationProceedings of the 2020 IEEE International Conference on Computational Electromagnetics (ICCEM 2020)
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages95-96
Number of pages2
ISBN (Electronic)9781728134482, 9781728134475
ISBN (Print)9781728134499
DOIs
Publication statusPublished - 2020
Event6th IEEE International Conference on Computational Electromagnetics, ICCEM 2020 - Singapore, Singapore
Duration: 24 Aug 202026 Aug 2020

Conference

Conference6th IEEE International Conference on Computational Electromagnetics, ICCEM 2020
CountrySingapore
CitySingapore
Period24/08/2026/08/20

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