Abstract
Abstract In this paper, we consider the problem of detection of subsurface cavities by the method of infrared computerised axial tomography (IR-CAT). The location and size of interior cavities are determined using temperature and heat flux measurements at the surface of a heat conductor. The problem has numerous applications in non-destructive testing of materials. A real coded genetic algorithm (GA) is employed to optimise the object function measuring the goodness of fitness to the data. The solution methodology developed has a general character and can be applied for various cavities or inclusions detection problems.
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