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Integrating continuous differential evolution with discrete local search for meander line RFID antenna design


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Montgomery, J ORCID: 0000-0002-5360-7514, Randall, M and Lewis, A 2019 , 'Integrating continuous differential evolution with discrete local search for meander line RFID antenna design' , PLoS ONE, vol. 14, no. 10 , pp. 1-22 , doi: 10.1371/journal.pone.0223194.

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The automated design of meander line RFID antennas is a discrete self-avoiding walk(SAW) problem for which efficiency is to be maximized while resonant frequency is to beminimized. This work presents a novel exploration of how discrete local search may beincorporated into a continuous solver such as differential evolution (DE). A prior DE algorithmfor this problem that incorporates an adaptive solution encoding and a bias favoringantennas with low resonant frequency is extended by the addition of the backbite localsearch operator and a variety of schemes for reintroducing modified designs into the DEpopulation. The algorithm is extremely competitive with an existing ACO approach and thetechnique is transferable to other SAW problems and other continuous solvers. The findingsindicate that careful reintegration of discrete local search results into the continuous populationis necessary for effective performance.

Item Type: Article
Authors/Creators:Montgomery, J and Randall, M and Lewis, A
Keywords: evolutionary computation, RFID, RFID antenna, multiobjective optimisation, local search, differential evolution
Journal or Publication Title: PLoS ONE
Publisher: Public Library of Science
ISSN: 1932-6203
DOI / ID Number: 10.1371/journal.pone.0223194
Copyright Information:

Copyright 2019 Montgomery et al.Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0)

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