• DocumentCode
    3324824
  • Title

    Mixed strategy for tree search

  • Author

    Iyengar, S.S. ; Miyata, Takahisa ; Haq, Enamul

  • Author_Institution
    Dept. of Comput Sci., Louisana State Univ., Baton Rouge, LA, USA
  • fYear
    1989
  • fDate
    9-12 Apr 1989
  • Firstpage
    995
  • Abstract
    The authors propose a mixed strategy of tree searching that is efficient in space. The proposed method is a combination of the breadth-first strategy, the minimum-space-pebbling strategy, and the modified depth-first iterative deepening algorithms. The authors analyze the complexity of the algorithms using three parameters: the depth of the tree, the node branching factor, and the computational efficiency described as the total number of nodes generated during the search. It is concluded that the proposed method of tree searching reduces the space requirements compared to the three other above-mentioned methods, without increasing the order of the time complexity
  • Keywords
    computational complexity; iterative methods; search problems; trees (mathematics); breadth-first strategy; computational efficiency; minimum-space-pebbling strategy; modified depth-first iterative deepening algorithms; node branching factor; space requirements; time complexity; tree searching; Computer science; Costs; Decision trees; Heuristic algorithms; Iterative algorithms; Iterative methods; Joining processes; Search methods; Tree graphs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Southeastcon '89. Proceedings. Energy and Information Technologies in the Southeast., IEEE
  • Conference_Location
    Columbia, SC
  • Type

    conf

  • DOI
    10.1109/SECON.1989.132558
  • Filename
    132558