Paper
12 April 2017 Inversion-based imaging using lagrange polynomial parameterization and genetic algorithm optimization
Yew Li Hor, Yu Zhong, Huapeng Zhao, Viet Phuong Bui, Ching Eng Png
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Abstract
A fast crack profile reconstitution method is developed using eddy current probing scheme. The technique employed genetic algorithm (GA) optimization together with boundary element method (BEM) to evaluate the shape of the cracks that are described by using the Lagrange polynomial (LP). In doing so, the shape of the open cracks could be obtained. Compared to the pixel-based description of the cracks, the LP description could significantly reduce the number of the unknowns, and this increases the efficiency of the global searching by the GA. This technique has greatly improved the efficiency of the inversion solver. Numerical tests are shown to validate the interests.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yew Li Hor, Yu Zhong, Huapeng Zhao, Viet Phuong Bui, and Ching Eng Png "Inversion-based imaging using lagrange polynomial parameterization and genetic algorithm optimization", Proc. SPIE 10168, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2017, 101683S (12 April 2017); https://doi.org/10.1117/12.2263265
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KEYWORDS
Optimization (mathematics)

Genetic algorithms

Sensors

Mathematical modeling

Aerospace engineering

Algorithm development

Data modeling

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