Name
Title | ||
|---|---|---|
Application of Intelligent Algorithm to Solve the Fractional Heat Conduction Inverse Problem. |
Abstract | ||
|---|---|---|
This paper describes an application of an intelligent algorithm to reconstruct the boundary condition of second kind in the heat conduction equation of fractional order. For this purpose, a functional defining error of approximate solution was minimized. To minimize this functional Ant Colony Optimization (ACO) algorithm was used. Calculations has been performed in parallel way (multi-threaded), so the computation time is significantly shortened. The paper presents examples to illustrate the accuracy and stability of the presented algorithm. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1007/978-3-319-24770-0_31 | Communications in Computer and Information Science |
Keywords | Field | DocType |
Intelligent algorithm,Inverse problem,Identification,Time fractional heat conduction equation | Ant colony optimization algorithms,Boundary value problem,Computer science,Algorithm,Heat equation,Inverse problem,Thermal conduction,Approximate solution,Computation | Conference |
Volume | ISSN | Citations |
538 | 1865-0929 | 4 |
PageRank | References | Authors |
0.51 | 12 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| r brociek | 1 | 10 | 3.35 |
| Damian Słota | 2 | 78 | 23.72 |