Loading...
Please wait, while we are loading the content...
Similar Documents
An Improved Genetic Local Search Algorithm for Defect Reconstruction from MFL Signals 1
| Content Provider | Semantic Scholar |
|---|---|
| Author | Que, Peixin |
| Abstract | This paper presents an improved genetic local algorithm by incorporating the simulatedannealing 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 geneticlocal-search-algorithm-based inverse algorithm. The results demonstrate that the proposed inverse algorithm is more accurate and robust to the noise. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://page-one.springer.com/pdf/preview/10.1007/s11181-006-0038-z |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
