Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
468048 | Computers & Mathematics with Applications | 2015 | 15 Pages |
Abstract
In the paper a procedure for solving the two-dimensional inverse Stefan problem is presented. In considered problem the heat transfer coefficient is identified with the aid of known measurements of temperature in selected points of the region as the additional information. Direct Stefan problem is solved by using the alternating phase truncation method. Goal of the paper is to compare two swarm intelligence algorithms–the Ant Colony Optimization algorithm and the Artificial Bee Colony algorithm–applied for minimizing a functional expressing the error of approximate solution.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Edyta Hetmaniok, Damian Słota, Adam Zielonka,