@inproceedings{0fdc1eb6bb034074a8b3dda5d01b00de,
title = "Polar Bear Optimization For Industrial Computed Tomography With Incomplete Data",
abstract = "In this article, Polar Bear Optimization Algorithm (PBO) is parallelized to solve the problem of computed tomography (CT) with incomplete data. It is vary hard to model correctly 2D and 3D objects by using CT scanners when information is incomplete. Our approach is to use PBO to reduce recovery time and simplify specificity of the phenomenon. Results from our research show that proposed approach is enabling fast and accurate reconstruction of objects modeled in projection space.",
keywords = "Computed tomography, Heuristics, Incomplete data, Parallel computing, Polar bear optimization",
author = "Mariusz Pleszczy{\'n}ski and Adam Zielonka and Dawid Po{\l}ap and Marcin Woz{\'n}iak and Jacek Ma{\'n}dziuk",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE; 2021 IEEE Congress on Evolutionary Computation, CEC 2021 ; Conference date: 28-06-2021 Through 01-07-2021",
year = "2021",
doi = "10.1109/CEC45853.2021.9504750",
language = "English",
series = "2021 IEEE Congress on Evolutionary Computation, CEC 2021 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "681--687",
booktitle = "2021 IEEE Congress on Evolutionary Computation, CEC 2021 - Proceedings",
address = "United States",
}