Title :
Improved Particle Swarm Optimization Algorithm of Inverse Heat Conduction
Author :
Jingjing, Qi ; Yucheng, Guo ; Ming, Zhou ; Shesheng, Zhang
Author_Institution :
Sch. of Comput. Sci. & Technol., Wuhan Univ. of Technol., Wuhan, China
Abstract :
Inverse Heat Conduction Problem (IHCP) has the characteristics of non-linearity, ill-posed ness and heavy computation, because of which, there haven´t been any theories or algorithms with broad application scope to solve it yet. In this paper, we use standard Particle Swarm Optimization (PSO) algorithm to solve fine-mesh 2 Dimensions (2D) IHCP. The experimental data shows that the standard PSO algorithm is not suitable for solving fine-mesh 2D IHCP. Considering the particular application fine-mesh 2D IHCP, the paper gives an improved strategy for the standard PSO algorithm. Results show that the improved PSO algorithm has a great improve in global search capability and solution precision.
Keywords :
heat conduction; inverse problems; numerical analysis; partial differential equations; particle swarm optimisation; physics computing; fine mesh 2D IHCP; improved PSO algorithm; inverse heat conduction problem; particle swarm optimization algorithm; Accuracy; Boundary conditions; Heating; Inverse problems; Mathematical model; Temperature distribution; Temperature measurement; 2D IHCP; Fine-mesh; Improved PSO Algorithm; PSO Algorithm;
Conference_Titel :
Distributed Computing and Applications to Business, Engineering & Science (DCABES), 2012 11th International Symposium on
Conference_Location :
Guilin
Print_ISBN :
978-1-4673-2630-8
DOI :
10.1109/DCABES.2012.29
