Particle Swarm Optimization for Antenna Designs in Engineering Electromagnetics. (9th January 2008)
- Record Type:
- Journal Article
- Title:
- Particle Swarm Optimization for Antenna Designs in Engineering Electromagnetics. (9th January 2008)
- Main Title:
- Particle Swarm Optimization for Antenna Designs in Engineering Electromagnetics
- Authors:
- Jin, Nanbo
Rahmat-Samii, Yahya - Other Names:
- Poli Riccardo Academic Editor.
- Abstract:
- Abstract : This paper presents recent advances in applying particle swarm optimization (PSO) to antenna designs in engineering electromagnetics. By linking the PSO kernel with external electromagnetic (EM) analyzers, the algorithm has the flexibility to handle both real and binary variables, as well as multiobjective problems with more than one optimization goal. Three examples, including the designs of a dual-band patch antenna, an artificial ground plane of a surface wave antenna, and an aperiodic antenna array, are presented. Both simulation and measurement results are provided to illustrate the effectiveness of applying the swarm intelligence to design antennas with desired frequency response and radiation characteristics for practical EM applications.
- Is Part Of:
- Journal of artificial evolution and applications. Volume 2008(2008)
- Journal:
- Journal of artificial evolution and applications
- Issue:
- Volume 2008(2008)
- Issue Display:
- Volume 2008, Issue 2008 (2008)
- Year:
- 2008
- Volume:
- 2008
- Issue:
- 2008
- Issue Sort Value:
- 2008-2008-2008-0000
- Page Start:
- Page End:
- Publication Date:
- 2008-01-09
- Subjects:
- Evolutionary programming (Computer science) -- Periodicals
Evolutionary programming (Computer science)
Periodicals
Electronic journals
006.3823 - Journal URLs:
- https://www.hindawi.com/journals/jaea/ ↗
- DOI:
- 10.1155/2008/728929 ↗
- Languages:
- English
- ISSNs:
- 1687-6229
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 10827.xml