2014
DOI: 10.1016/j.sna.2014.10.020
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Multi-objective design of an FBG sensor network using an improved Strength Pareto Evolutionary Algorithm

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Cited by 13 publications
(2 citation statements)
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References 13 publications
(26 reference statements)
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“…Recent years, fiber optic sensors offer a promising alternative to electric measurement elements. As a particular class of optical fiber sensors, fiber Bragg grating (FBG) sensors have attracted considerable attention from various research communities because of their distinguishing advantages, such as immunity to electromagnetic noise and optical power fluctuations, small profile, light weight, high resistance to hostile environments, no zero temperature drift and the fact that multiple FBGs can be arrayed along a single fiber [14][15][16].…”
Section: Introductionmentioning
confidence: 99%
“…Recent years, fiber optic sensors offer a promising alternative to electric measurement elements. As a particular class of optical fiber sensors, fiber Bragg grating (FBG) sensors have attracted considerable attention from various research communities because of their distinguishing advantages, such as immunity to electromagnetic noise and optical power fluctuations, small profile, light weight, high resistance to hostile environments, no zero temperature drift and the fact that multiple FBGs can be arrayed along a single fiber [14][15][16].…”
Section: Introductionmentioning
confidence: 99%
“…Finally, it has been widely applied to several multi-objective problems in both industrial and academic fields with prominent results compared to similar approaches [130][131][132][133].…”
Section: Multi-objective Evolutionary Algorithmmentioning
confidence: 99%