Abstract
We study the optimal transducer arrangement for measuring temperature distribution in an arbitrary convex-shaped space by acoustic computerized tomography (A-CT) using flexibly arranged transducers. The transducer arrangement is optimized by the combined use of two methods, namely, real-coded genetic algorithm (RCGA) and simulated annealing (SA). By RCGA, the optimized arrangement is globally searched and then locally searched by SA. A fitness function of these methods is defined to evaluate the distribution of projection data in θ–r space. By use of this function, we aim to obtain better projection data sets by two-dimensionally interpolating the projection data. By numerical simulations, we confirmed the adequacy of our method and the optimized transducer arrangement.
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