@inproceedings{10.1145/1389095.1389419,
author = {Kodali, Shyam P. and Bandaru, Sunith and Deb, K. and Munshi, Prabhat and Kishore, N. N.},
title = {Applicability of Genetic Algorithms to Reconstruction of Projected Data from Ultrasonic Tomography},
year = {2008},
isbn = {9781605581309},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/1389095.1389419},
doi = {10.1145/1389095.1389419},
abstract = {The use of a-priori information, where available, is an important step in solving an already computationally expensive tomographic imaging problem [1]. Here, an enhanced genetic algorithm based reconstruction technique is proposed that is capable of detecting the shape, size and location of multiple types of inclusions of known physical properties in a given test specimen. Preliminary results are found to be better than those reported with MART1. Simulations show that the algorithm is consistent for a wide range of grid sizes and geometries of inclusion(s). A logarithmic time complexity analysis gives a linear relationship between number of unknowns and reconstruction times, thus establishing the predictability of the algorithm.},
booktitle = {Proceedings of the 10th Annual Conference on Genetic and Evolutionary Computation},
pages = {1705–1706},
numpages = {2},
keywords = {ultrasonic tomography, time of flight, block crossover, genetic algorithms, reconstruction},
location = {Atlanta, GA, USA},
series = {GECCO '08}
}