Using Ant Colony Optimisation to Construct Meander- Line RFID Antennas

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Title Using Ant Colony Optimisation to Construct Meander- Line RFID Antennas
Author Lewis, Andrew; Randall, Marcus; Mohammadzadeh Galehdar, Amir Abas; Thiel, David Victor; Weis, Gerhard
Book Title Biologically-inspired Optimisation Methods: Parallel Algorithms, Systems and Applications
Year Published 2009
Place of publication Berlin
Publisher Springer-Verlag
Abstract A method increasingly used to uniquely identify objects (be they pieces of luggage, transported goods or inventory items in shops and warehouses), is Radio Frequency IDentification (RFID). One of the most important components of RFID systems is the antenna and its design is critical to the utility of such tracking systems. Design engineers have traditionally constructed small antennas using their knowledge and intuition, as there is no simple analytical solution relating antenna structure to performance. This, however, does not guarantee optimal results, particularly for larger, more complex antennas. The problem is ideally suited to automated methods of optimisation. This chapter presents an overview of the automatic design of antennas using the meta-heuristic known as Ant Colony Optimisation (ACO). Apart from a description of the necessary mechanics ACO needs to effectively solve this problem, a novel local search refinement operator and a multi-objective version of the problem are also described. The latter is used to optimise both antenna efficiency and resonant frequency. Computational results for a range of antenna sizes show that ACO is a very effective design tool for RFID antennas.
Peer Reviewed Yes
Published Yes
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Chapter Number 8
Page from 189
Page to 217
ISBN 978-3-642-01261-7
Date Accessioned 2009-09-21
Language en_AU
Faculty Faculty of Science, Environment, Engineering and Technology
Subject Antennas and Propagation; Optimisation
Publication Type Book Chapters
Publication Type Code b1

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