• DocumentCode
    3272845
  • Title

    Global optimization of a single inlet T- junction cooling system using differential evolution

  • Author

    Singh, Monika ; Patkar, Ameya ; Pant, Millie ; Jain, Abhishek

  • Author_Institution
    Dept. of Paper Technol., Indian Inst. of Technol. Roorkee, Roorkee, India
  • fYear
    2013
  • fDate
    16-19 April 2013
  • Firstpage
    200
  • Lastpage
    205
  • Abstract
    Over the past few decades, differential evolution (DE) has emerged as a versatile algorithm for solving a wide range of global optimization problems arising in various fields. The present study discusses a novel application of DE for thermal optimization of a single inlet T-junction. It is a common but complex problem arising in the field of thermal engineering and can be formulated as a global optimization problem subject to constraints. The current study shows the efficiency of DE in dealing with such problems.
  • Keywords
    channel flow; cooling; evolutionary computation; optimisation; thermal engineering; DE algorithm; differential evolution algorithm; global optimization problem; single-inlet T-junction cooling system; thermal engineering; thermal optimization; Particle swarm optimization; T-junction; differential evolution; global optimization; thermal optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Swarm Intelligence (SIS), 2013 IEEE Symposium on
  • Conference_Location
    Singapore
  • Type

    conf

  • DOI
    10.1109/SIS.2013.6615179
  • Filename
    6615179