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Application of swarm intelligence algorithms in solving the inverse heat conduction problem

Hetmaniok E., Słota D., Zielonka A.

Computer Assisted Methods in Engineering and Science

2012

Vol. 19, no. 4

361-367

In the paper a proposal of using selected swarm intelligence algorithms for solving the inverse heat conduction problem is presented. The analyzed problem consist s in reconstructing temperature distribution in the given domain and the form of heat transfer coefficient ap pearing in the boundary condition of the third kind. The investigated approaches are based on the Art ificial Bee Colony algorithm and the Ant Colony Optimization algorithm, the efficiency of which are ex amined and compared

Identification of the Heat Transfer Coefficient in the Inverse Stefan Problem by Using the ABC Algorithm

Hetmaniok E., Słota D., Zielonka A.

Archives of Foundry Engineering

2012

Vol. 12, iss. 2s

27--32

A procedure based on the Artificial Bee Colony algorithm for solving the two-phase axisymmetric one-dimensional inverse Stefan problem with the third kind boundary condition is presented in this paper. Solving of the considered problem consists in reconstruction of the function describing the heat transfer coefficient appearing in boundary condition of the third kind in such a way that the reconstructed values of temperature would be as closed as possible to the measurements of temperature given in selected points of the solid. A crucial part of the solution method consists in minimizing some functional which will be executed with the aid of one of the swarm intelligence algorithms - the ABC algorithm.