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Article
Extending the front: Designing RFID antennas using multiobjective differential evolution with biased population selection
Procedia Computer Science
  • James Montgomery, University of Tasmania
  • Marcus Randall, Bond University
  • Andrew Lewis, Griffith University
Date of this Version
1-1-2014
Document Type
Journal Article
Publication Details

Citation only.

Montgomery, J., Randall, M., & Lewis, A. (2014). Extending the front: Designing RFID antennas using multiobjective differential evolution with biased population selection. Procedia Computer Science, 29, 1893-1903.

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2014 HERDC submission. FoR code: 080000; 100000

© Copyright Elsevier B.V., 2014

Abstract

RFID antennas are ubiquitous, so exploring the space of high efficiency and low resonant frequency antennas is an important multiobjective problem. Previous work has shown that the continuous solver differential evolution (DE) can be successfully applied to this discrete problem, but has difficulty exploring the region of solutions with lowest resonant frequency. This paper introduces a modified DE algorithm that uses biased selection from an archive of solutions to direct the search toward this region. Results indicate that the proposed approach produces superior attainment surfaces to the earlier work. The biased selection procedure is applicable to other population-based approaches for this problem.

Citation Information
James Montgomery, Marcus Randall and Andrew Lewis. "Extending the front: Designing RFID antennas using multiobjective differential evolution with biased population selection" Procedia Computer Science Vol. 29 (2014) p. 1893 - 1903 ISSN: 1877-0509
Available at: http://works.bepress.com/marcus_randall/46/