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Extending the front: designing RFID antennas using multiobjective differential evolution with biased population selection
conference contribution
posted on 2023-05-23, 08:53 authored by Erin MontgomeryErin Montgomery, Randall, M, Lewis, ARFID 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 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.
History
Publication title
Proceedings of 14th International Conference on Computational Science 2014Volume
29Pagination
1893-1903ISSN
1877-0509Department/School
School of Information and Communication TechnologyPublisher
ElsevierPlace of publication
AustraliaEvent title
14th International Conference on Computational Science 2014Event Venue
Cairns, AustraliaDate of Event (Start Date)
2014-06-10Date of Event (End Date)
2014-06-12Rights statement
Copyright 2014 the authorsRepository Status
- Restricted