Abstract
Applications of shearography in industry include the detection of strain anomalies which result when engineering components containing defects are subjected to stress. The output derived from shearographic apparatus is a fringe pattern which is used to confirm the integrity of, or characterise defects within, the component under test. A step towards the automation of the process is to convert the fringe lines into a mathematical representation that a computer can use for analysis. Modelling can be achieved by fitting B-spline curves to the fringe patterns and using a search to find a best fit. The paper compares the results of the run time performance of three search methods applied to this problem namely; discrete hill-climbing, random mutation hill-climbing and genetic algorithm.
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© 2000 Springer-Verlag Berlin Heidelberg
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Clay, P., Crispin, A., Crossley, S. (2000). Combinatorial Optimization A Comparative Analysis of Search Methods as Applied to Shearographic Fringe Modelling. In: Logananthara, R., Palm, G., Ali, M. (eds) Intelligent Problem Solving. Methodologies and Approaches. IEA/AIE 2000. Lecture Notes in Computer Science(), vol 1821. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45049-1_13
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DOI: https://doi.org/10.1007/3-540-45049-1_13
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