State–Space Search: Algorithms, Complexity, Extensions, and Applications, Weixiong Zhang. New York, Berlin, Heidelberg: Springer, 1999. ISBN: 0-387-98832-7

2000 ◽  
Vol 22 (3) ◽  
pp. 229-230
Author(s):  
Hartmut Moeck
Keyword(s):  
New York ◽  
State Space ◽  
Search Algorithms ◽  
State Space Search

PROPOSED MODIFICATIONS TO PARALLEL STATE SPACE SEARCH OF GAME TREES

1991 ◽  
Vol 05 (05) ◽  
pp. 809-833 ◽  
Author(s):  
RAJIAN SHINGHAL ◽  
SOFIA SHVED
Keyword(s):  
State Space ◽  
Search Algorithms ◽  
The Other ◽  
State Space Search ◽  
Game Trees ◽  
Pruning Algorithms ◽  
Better Than

Modifications have been proposed to state space search algorithms for pruning game trees in parallel.The performance of these modified algorithms is empirically shown to be better than the other known parallel pruning algorithms.

Heuristics for Domain-Independent Planning: A Survey

2011 ◽  
Vol 135-136 ◽  
pp. 573-577 ◽  
Author(s):  
Rui Shi Liang ◽  
Min Huang
Keyword(s):  
State Space ◽  
Heuristic Search ◽  
Research Work ◽  
Future Research ◽  
Survey Analysis ◽  
Work Related ◽  
State Space Search ◽  
Survey Results ◽  
Domain Independent ◽  
Intense Research

Increasing interest has been devoted to Planning as Heuristic Search over the years. Intense research has focused on deriving fast and accurate heuristics for domain-independent planning. This paper reports on an extensive survey and analysis of research work related to heuristic derivation techniques for state space search. Survey results reveal that heuristic techniques have been extensively applied in many efficient planners and result in impressive performances. We extend the survey analysis to suggest promising avenues for future research in heuristic derivation and heuristic search techniques.

Multiobjective State Space Search

1999 ◽  
pp. 19-48
Author(s):  
Pallab Dasgupta ◽  
P. P. Chakrabarti ◽  
S. C. DeSarkar
Keyword(s):  
State Space ◽  
State Space Search
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