DocumentCode :
2201787
Title :
Optimized Application and Practice of A* Algorithm in Game Map Path-Finding
Author :
Zou, Huilai ; Zong, Lili ; Liu, Hua ; Wang, Chaonan ; Qu, Zening ; Qu, Youtian
Author_Institution :
Coll. of Math. Phys. & Inf. Eng., Zhejiang Normal Univ., Jinhua, China
fYear :
2010
fDate :
June 29 2010-July 1 2010
Firstpage :
2138
Lastpage :
2142
Abstract :
The techniques of path finding and its optimization are widely applied in the fields of game development, intelligent navigation, GIS and so on. We have pointed out the deficiency of A* algorithm by analyzing the algorithm based on heuristic search and combining with the field of game development. By the skill of flood filling and the potential field to pre-treatment analysis the map, with searching optimization heuristic function to break the equilibrium, which eliminate exhaustive search effectively when face an ac-node in the map, improve the Intelligent of the algorithm to obstacle avoidance, and also avoid some invalid expansion. So in this way the efficiency in time and space has been greatly improved. Finally, the specific procedures have verified its feasibility and effectiveness by optimizing the data structure. Besides, the relevant areas also have a good universal currency.
Keywords :
collision avoidance; computer games; navigation; search problems; A* algorithm; GIS; exhaustive search; game development; game map path-finding; heuristic search; intelligent navigation; obstacle avoidance; pretreatment analysis; Algorithm design and analysis; Filling; Floods; Games; Heuristic algorithms; Optimization; Potential energy; A* Algorithm; Flood Filling; Max Connected Sub-Graph; Potential Field; Tie Breaking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Information Technology (CIT), 2010 IEEE 10th International Conference on
Conference_Location :
Bradford
Print_ISBN :
978-1-4244-7547-6
Type :
conf
DOI :
10.1109/CIT.2010.365
Filename :
5578366
Link To Document :
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