Name
Title | ||
|---|---|---|
Application And Comparison Of The Intelligent Algorithms To Solve The Fractional Heat Conduction Inverse Problem |
Abstract | ||
|---|---|---|
This paper describes an application of intelligent algorithms to reconstruct the boundary condition of the second kind in the fractional heat conduction equation. For this purpose, a functional defining the error of approximate solution must be minimized To minimize this functional two Ant Colony Optimization (ACO) algorithms were used and compared. In order to reduce the computational time, the calculations were performed in a parallel (multithreaded) way. The paper presents also some examples to illustrate the accuracy and stability of the presented algorithms. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.5755/j01.itc.45.2.13716 | INFORMATION TECHNOLOGY AND CONTROL |
Keywords | Field | DocType |
Intelligent Algorithm, Ant Colony Optimization Algorithm, Inverse Problem, Identification, Time Fractional Heat Conduction Equation | Ant colony optimization algorithms,Boundary value problem,Mathematical optimization,Computer science,Algorithm,Intelligent algorithms,Heat equation,Inverse problem,Thermal conduction,Approximate solution | Journal |
Volume | Issue | ISSN |
45 | 2 | 1392-124X |
Citations | PageRank | References |
2 | 0.38 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| r brociek | 1 | 10 | 3.35 |
| Damian Słota | 2 | 78 | 23.72 |