Using ant colony optimisation to improve the efficiency of small meander line RFID antennas

Increasing the efficiency of meander line antennas is an important real-world problem within radio frequency identification (RFID). Meta-heuristic search algorithms, such as ant colony optimisation, are very efficient at solving problems that require paths to be constructed. This search technique is adapted to solve the grid based path problem for meander line antennas and incorporates the NEC evaluation suite. The results for grid sizes up to 10 נ10 grid indicates that ant colony optimisation is extremely effective at this real-world problem.Increasing the efficiency of meander line antennas is an important real-world problem within radio frequency identification (RFID). Meta-heuristic search algorithms, such as ant colony optimisation, are very efficient at solving problems that require paths to be constructed. This search technique is adapted to solve the grid based path problem for meander line antennas and incorporates the NEC evaluation suite. The results for grid sizes up to 10 נ10 grid indicates that ant colony optimisation is extremely effective at this real-world problem.
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Conference Title

Proceedings - e-Science 2007, 3rd IEEE International Conference on e-Science and Grid Computing

Publisher URI

http://ieeexplore.ieee.org/xpl/tocresult.jsp?isnumber=4426857&isYear=2007

DOI

https://doi.org/10.1109/E-SCIENCE.2007.82

Copyright Statement

© 2007 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

Publication URI

http://hdl.handle.net/10072/17063

Collection

Conference outputs