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Extending the front: designing RFID antennas using multiobjective differential evolution with biased population selection

Citation

Montgomery, J and Randall, M and Lewis, A, Extending the front: designing RFID antennas using multiobjective differential evolution with biased population selection, Proceedings of 14th International Conference on Computational Science 2014, 10-12 June 2014, Cairns, Australia, pp. 1893-1903. ISSN 1877-0509 (2014) [Refereed Conference Paper]

Copyright Statement

Copyright 2014 the authors

DOI: doi:10.1016/j.procs.2014.05.174

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 di fferential 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 modifi ed 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.

Item Details

Item Type:Refereed Conference Paper
Keywords:multiobjective optimisation, weighted preferences, RFID antenna design, differential evolution
Research Division:Information and Computing Sciences
Research Group:Artificial Intelligence and Image Processing
Research Field:Neural, Evolutionary and Fuzzy Computation
Objective Division:Expanding Knowledge
Objective Group:Expanding Knowledge
Objective Field:Expanding Knowledge in the Information and Computing Sciences
Author:Montgomery, J (Dr James Montgomery)
ID Code:91688
Year Published:2014
Web of Science® Times Cited:3
Deposited By:Computing and Information Systems
Deposited On:2014-05-26
Last Modified:2017-11-18
Downloads:0

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