Application of swarm intelligence algorithms in solving the inverse heat conduction problem
Journal Title: Computer Assisted Methods in Engineering and Science - Year 2012, Vol 19, Issue 4
Abstract
In the paper a proposal of using selected swarm intelligence algorithms for solving the inverse heat conduction problem is presented. The analyzed problem consists in reconstructing temperature distribution in the given domain and the form of heat transfer coefficient appearing in the boundary condition of the third kind. The investigated approaches are based on the Artificial Bee Colony algorithm and the Ant Colony Optimization algorithm, the efficiency of which are examined and compared.
Authors and Affiliations
Edyta Hetmaniok, Damian Słota, Adam Zielonka
Keywords
Related Articles
- EP ID EP73960
- DOI -
- Views 185
- Downloads 0
Numerical studies of dynamic stability under small random parametric excitations
An efficient numerical procedure is proposed to obtain mean-square stability regions for both single-degree-of-freedom and two-degree-of-freedom linear systems under parametric bounded noise excitation. This procedure re...
Application of neural networks for structure updating
The paper presents the application of Artificial Neural Networks (ANNs) for finite element (FE) models updating. The investigated structures are beams and frames, their models are updated by ANNs with input vectors compo...
CFD estimation of heat losses in thermal conductivity measurements
Knowledge of a material thermal conductivity is essential in several engineering applications. This material property serves also as a measure of the quality of manufactured materials. Nowadays, a lot of effort is direct...
Application of swarm intelligence algorithms in solving the inverse heat conduction problem
In the paper a proposal of using selected swarm intelligence algorithms for solving the inverse heat conduction problem is presented. The analyzed problem consists in reconstructing temperature distribution in the given...
On improved evolutionary algorithms application to the physically based approximation of experimental data
In this paper an evolutionary algorithms (EA) application to the physically based approximation (PBA) of experimental and/or numerical data is considered. Such an approximation may simultaneously use the whole experiment...