• DocumentCode
    2581683
  • 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
  • fYear
    2012
  • fDate
    19-22 Oct. 2012
  • Firstpage
    451
  • Lastpage
    454
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • 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
  • Type

    conf

  • DOI
    10.1109/DCABES.2012.29
  • Filename
    6385329