Genetic algorithm optimization of some novel broadband and multiband microstrip antennas

T. G. Spence, D. H. Werner, R. D. Groff

Research output: Contribution to journalConference article

13 Scopus citations

Abstract

The design of microstrip antennas usually involves specifying the values of several parameters that define its geometry and material characteristics. When there are a large number of parameters, it becomes necessary to use optimization techniques in the design of the antennas in order to maximize their performance. In this paper, we will discuss the design of some novel broadband and multiband microstrip antennas using Genetic Algorithm (GA) optimization techniques. A robust yet efficient optimization strategy that combines Model-Based Parameter Estimation (MBPE) with GA will also be introduced.

Original languageEnglish (US)
Pages (from-to)4408-4411
Number of pages4
JournalIEEE Antennas and Propagation Society, AP-S International Symposium (Digest)
Volume4
StatePublished - Sep 28 2004
EventIEEE Antennas and Propagation Society Symposium 2004 Digest held in Conjunction with: USNC/URSI National Radio Science Meeting - Monterey, CA, United States
Duration: Jun 20 2004Jun 25 2004

    Fingerprint

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Cite this