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Reducing Search Space of A* Algorithm Using Obstacle Information
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  • Journal title : Journal of Korea Game Society
  • Volume 15, Issue 4,  2015, pp.179-188
  • Publisher : Korea Game Society
  • DOI : 10.7583/JKGS.2015.15.4.179
 Title & Authors
Reducing Search Space of A* Algorithm Using Obstacle Information
Cho, Sung Hyun;
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 Abstract
The A* algorithm is a well-known pathfinding algorithm. However, if the information about obstacles is not exploited, the algorithm may collide with obstacles or lead into swamp areas unnecessarily. In this paper, we propose new heuristic functions using the information of obstacles to avoid them or swamp areas. It takes time to process the information of obstacles before starting pathfinding, but it may not cause any problems most of cases because it is not processed in real time. We showed that the proposed methods could reduce the search space effectively through experiments. Furthermore, we showed that heuristic functions using obstacle information could reduce the search space effectively without processing obstacle information at all.
 Keywords
A* Algorithm;Path Finding;Heuristic Function;Search Space Reduction;
 Language
Korean
 Cited by
 References
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