Clonal selection algorithm in identification of boundary condition in the inverse stefan problem

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Abstract

In the paper a procedure for identifying the heat transfer coefficient in boundary condition of the inverse Stefan problem is presented. Stefan problem is a boundary value problem describing thermal processes with the change of phase and the proposed procedure is based on the Clonal Selection Algorithm belonging to the group of immune algorithms.

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Hetmaniok, E., & Słota, D. (2014). Clonal selection algorithm in identification of boundary condition in the inverse stefan problem. In Advances in Intelligent Systems and Computing (Vol. 242, pp. 511–518). Springer Verlag. https://doi.org/10.1007/978-3-319-02309-0_56

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