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J. J. LIANG1, C. C. CHAN2, V. L. HUANG1, P. N. SUGANTHAN1,*
A novel evolutionary algorithm called dynamic multi-swarm particle swarm optimizer (DMS-PSO) is used to detect Bragg wavelengths of fiber Bragg grating (FBG) sensors in a wavelength division multiplexed (WDM) network. Simulation and experimental results show that DMS-PSO achieves higher accuracy with less computation cost compared to the conventional peak detection approach and the simple binary genetic algorithm when the sensors are partially or completely overlapped in noisy environment.
Fiber Bragg Grating (FBG), FBG sensor network, Wavelength division multiplexed (WDM), Particle Swarm Optimization, Evolutionary Algorithm.
J. J. LIANG, C. C. CHAN, V. L. HUANG, P. N. SUGANTHAN, Improving the performance of a FBG sensor network using a novel dynamic multi-swarm particle swarm optimizer, Optoelectronics and Advanced Materials - Rapid Communications, 1, 8, August 2007, pp.373-378 (2007).
Submitted at: Feb. 7, 2007
Accepted at: July 8, 2007
Optoelectronics and Advanced Materials - Rapid Communications
(2024): Impact Factor = 0.4 - Journal Citation Reports (Clarivate Analytics, 2025)
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