• DocumentCode
    2737628
  • Title

    Adaptive Hybrid Harmony Search algorithm for optimal design of laminate composites

  • Author

    Lakshmi, K. ; Rao, A.R.M.

  • Author_Institution
    CSIR-Struct. Eng. Res. Centre, Council of Sci. & Ind. Res., Chennai, India
  • fYear
    2012
  • fDate
    26-28 July 2012
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    In this paper, a meta-heuristic approach called Adaptive Hybrid Harmony Search algorithm (AHHS), which is a variant of recently developed Harmony search optimisation algorithm is proposed. The harmony search is basically conceptualized using the musical process of searching for a perfect state of harmony. The proposed algorithm is hybridised with a customised neighbourhood search algorithm called `Variable depth neighbourhood search´, to improve its intensification mechanism. This proposed algorithm is applied to a combinatorial problem namely lay-up sequence optimisation of laminate composite stiffened cylinder. The results of the investigated numerical example, clearly illustrate the efficiency of the proposed algorithm to handle the design of layup sequence problem.
  • Keywords
    design engineering; laminates; optimisation; search problems; AHHS; adaptive hybrid harmony search algorithm; customised neighbourhood search algorithm; harmony search optimisation algorithm; laminate composite stiffened cylinder; laminate composites; lay-up sequence optimisation; layup sequence problem; meta-heuristic approach; musical process; numerical example; optimal design; variable depth neighbourhood search; Algorithm design and analysis; Bandwidth; Laminates; Nickel; Metahueristic algorithms; Stiffened cylinder; combinatorial optimization; harmony search; laminate composites; neighbourhood search;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing Communication & Networking Technologies (ICCCNT), 2012 Third International Conference on
  • Conference_Location
    Coimbatore
  • Type

    conf

  • DOI
    10.1109/ICCCNT.2012.6396068
  • Filename
    6396068