Application of swarm intelligence algorithms in solving the inverse heat conduction problem
Abstract
In the paper a proposal of using selected swarm intelligence algorithms for solving the inverse heat conduction problem is presented. The analyzed problem consists in reconstructing temperature distribution in the given domain and the form of heat transfer coefficient appearing in the boundary condition of the third kind. The investigated approaches are based on the Artificial Bee Colony algorithm and the Ant Colony Optimization algorithm, the efficiency of which are examined and compared.
Keywords
Swarm Intelligence, ACO algorithm, ABC algorithm, Inverse Heat Conduction Problem,References
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Published
Jan 25, 2017
How to Cite
HETMANIOK, Edyta; SŁOTA, Damian; ZIELONKA, Adam.
Application of swarm intelligence algorithms in solving the inverse heat conduction problem.
Computer Assisted Methods in Engineering and Science, [S.l.], v. 19, n. 4, p. 361-367, jan. 2017.
ISSN 2956-5839.
Available at: <https://cames.ippt.gov.pl/index.php/cames/article/view/86>. Date accessed: 16 apr. 2025.
doi: http://dx.doi.org/10.24423/cames.86.
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