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Title

A*-based Pathfinding in Modern Computer Games

Author

Xiao Cui, Hao Shi

Citation

Vol. 11  No. 1  pp. 125-130

Abstract

Pathfinding in computer games has been investigated for many years. It is probably the most popular but frustrating game artificial intelligence (AI) problem in game industry. Various search algorithms, such as Dijkstra’s algorithm, bread first search algorithm and depth first search algorithm, were created to solve the shortest path problem until the emergence of A* algorithm as a provably optimal solution for pathfinding. Since it was created, it has successfully attracted attention of thousands of researchers to put effort into it. A long list of A*-based algorithms and techniques were generated. This paper reviews a number of popular A*-based algorithms and techniques from different perspectives. It aims to explore the relationship between various A*-based algorithms. In the first section, an overview of pathfinding is presented. Then, the details of A* algorithm are addressed as a basis of delivering a number of optimization techniques from different angles. Finally, a number of real examples of how the pathfinding techniques are used in real games are given and a conclusion is drawn.

Keywords

Pathfinding, A*, A* optimization, Computer game

URL

http://paper.ijcsns.org/07_book/201101/20110119.pdf