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An improved genetic local search algorithm for defect reconstruction from MFL signals

  • Magnetic Methods
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Russian Journal of Nondestructive Testing Aims and scope Submit manuscript

Abstract

This paper presents an improved genetic local algorithm by incorporating the simulated-annealing technique into the perturbation process of the genetic local search algorithm and proposes an improved-genetic-local-search-algorithm-based inverse algorithm for two-dimensional defect reconstruction from the magnetic-flux-leakage signals. In the algorithm, a radial-basis-function neural network is utilized as a forward model, and the improved genetic local search algorithm is used to solve the optimization problem in the inverse problem. Experiments are presented to compare the proposed inverse algorithm with both the canonical-genetic-algorithm-based inverse algorithm and the genetic-local-search-algorithm-based inverse algorithm. The results demonstrate that the proposed inverse algorithm is more accurate and robust to the noise.

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Authors and Affiliations

  1. Department of Information Measurement Technology and Instruments, Shanghai Jiaotong University, Shanghai, China

    W. Han & P. Que

Authors
  1. W. Han
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  2. P. Que
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Additional information

From Defektoskopiya, Vol. 41, No. 12, 2005, pp. 58–66.

Original English Text Copyright © 2005 by Han, Que.

The text was submitted by the authors in English.

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Han, W., Que, P. An improved genetic local search algorithm for defect reconstruction from MFL signals. Russ J Nondestruct Test 41, 815–821 (2005). https://doi.org/10.1007/s11181-006-0038-z

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  • DOI: https://doi.org/10.1007/s11181-006-0038-z

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