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
Link To Document :
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