Application of swarm intelligence algorithms in solving the inverse heat conduction problem
E Hetmaniok, D Słota, A Zielonka - Computer Assisted Methods …, 2017 - cames.ippt.pan.pl
E Hetmaniok, D Słota, A Zielonka
Computer Assisted Methods in Engineering and Science, 2017•cames.ippt.pan.plIn 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.
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.
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.
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