@inproceedings{ef7a3d60e64643b1842c611a7f46c9b9,
title = "Comparison of a Metaheuristic Algorithm and Enhanced Hybrid Algorithms for Inverse Problem in Computed Tomography",
abstract = "This paper presents an inverse problem in computed tomography using a simplified simulator operating in a two-dimensional space and proposes methods for solving it. The solutions discussed are based on a metaheuristic algorithm{\textemdash}the Group Teaching Optimization Algorithm (GTOA){\textemdash}as well as a hybrid approach that combines this metaheuristic with two deterministic algorithms: Nelder-Mead (NM) and Hooke-Jeeves (HJ). The study includes performance evaluations of each algorithm, accompanied by graphical representations and a direct comparison of fitness function values and computation times for each solution. The results demonstrate that the hybrid approach consistently produced solutions of comparable or superior quality, with one hybrid instance significantly outperforming the standalone GTOA. Additionally, the hybrid algorithms required substantially less computation time, ranging from 32\% to 85\% of the time taken by GTOA.",
keywords = "computed tomography, hybrid algorithm, inverse problem, metaheuristic algorithm, optimization",
author = "Jakub Miarka and Mateusz Goik and Rafa{\l} Brociek and Mariusz Pleszczy{\'n}ski and Andrzej Sikora",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.; 31st International Conference on Information and Software Technologies, ICIST 2025 ; Conference date: 16-10-2025 Through 17-10-2025",
year = "2026",
doi = "10.1007/978-3-032-16808-5\_15",
language = "English",
isbn = "9783032168078",
series = "Communications in Computer and Information Science",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "185--194",
editor = "Audrius Lopata and Daina Gudoniene and Jonas Ceponis",
booktitle = "Information and Software Technologies - 31st International Conference, ICIST 2025, Proceedings",
address = "Germany",
}