Abstract
This paper describes an application of intelligent algorithms to reconstruct the boundary condition of second kind in the fractional heat conduction equation. For this purpose, a functional defining error of approximate solution was minimized. To minimize this functional two Ant Colony Optimization (ACO) algorithms were used and compared. To reduce computational time, calculations has been performed in parallel way (multi-threaded). The paper presents examples to illustrate the accuracy and stability of the presented algorithms.
| Original language | English |
|---|---|
| Pages (from-to) | 184-194 |
| Number of pages | 11 |
| Journal | Information Technology and Control |
| Volume | 45 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 2016 |
Keywords
- Ant colony optimization algorithm
- Identification
- Intelligent algorithm
- Inverse problem
- Time fractional heat conduction equation
ASJC Scopus subject areas
- Control and Systems Engineering
- Computer Science Applications
- Electrical and Electronic Engineering
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