Improving the performance of a FBG sensor network using a genetic algorithm

A novel wavelength detection technique of overlapping spectra in the serial WDM FBG sensor network

“…From the results, we observe that the average values for both sensors are very close to their real values. The detection accuracies in terms of the wavelength detection errors achieved by Swap-DE are typically smaller than 0.2 pm, which is better than the previous techniques [2][3][4][5][6][7][8].…”

“…Optimization strategy was firstly introduced to determine the Bragging wavelength by Chan et al [2][3][4]. In subsequent works, various evolutionary algorithms (EAs) have been proposed to solve this problem, such as genetic algorithm (GA) [5], dynamic multi-swarm particle swarm optimizer (DMS-PSO) [6,7] and self-adaptive neighborhood search differential evolution plus (SaNSDE+) [8]. These previous investigations demonstrate the potential of the optimization algorithms in detecting the Bragg wavelengths even when the spectra of FBGs are partially or completely overlapped.…”

Inverse modeling and control of a dielectric electro-active polymer smart actuator

“…In the literature, several studies successfully used a genetic algorithm (GA) to identify and optimize some typical nonlinear dynamic systems [24][25][26][27][28], especially for the parameters identification of the fuzzy systems, where the estimation of the rule base usually requires global searching due to the existence of if -then rules. However, in this paper, the APSO algorithm is applied to identify the remaining unknown parameters of the proposed inverse NARX fuzzy model.…”

Multi-objective design of an FBG sensor network using an improved Strength Pareto Evolutionary Algorithm

“…Based on the wavelength detection technique reported in the previous investigations [2][3][4][5][6][7][8], the operational regions of FBGs are permitted to be overlapped partially in our design. This means the bandwidth requirement can be reduced significantly by the overlapping spectra.…”

“…Recently, much attention has been paid to the overlapping spectra-based wavelength detection technique [2][3][4][5][6][7][8]. To improve the multiplexing capability of the WDM system, some evolutionary algorithms, such as genetic algorithm [3], particle swarm optimizer [4,5] and differential evolution algorithm [6,7], are applied to detect the Bragg wavelength when the spectra of FBGs are overlapped. These previous techniques are capable of accurately determining the Bragg wavelengths even when the spectra of FBGs in the network are partially or completely overlapped.…”