期刊文献+
共找到1篇文章
< 1 >
每页显示 20 50 100
Pathfinding in Strategy Games and Maze Solving Using A* Search Algorithm 被引量:2
1
作者 Nawaf Hazim Barnouti Sinan Sameer Mahmood Al-Dabbagh Mustafa Abdul Sahib Naser 《Journal of Computer and Communications》 2016年第11期15-25,共12页
Pathfinding algorithm addresses the problem of finding the shortest path from source to destination and avoiding obstacles. One of the greatest challenges in the design of realistic Artificial Intelligence (AI) in com... Pathfinding algorithm addresses the problem of finding the shortest path from source to destination and avoiding obstacles. One of the greatest challenges in the design of realistic Artificial Intelligence (AI) in computer games is agent movement. Pathfinding strategies are usually employed as the core of any AI movement system. In this work, A* search algorithm is used to find the shortest path between the source and destination on image that represents a map or a maze. Finding a path through a maze is a basic computer science problem that can take many forms. The A* algorithm is widely used in pathfinding and graph traversal. Different map and maze images are used to test the system performance (100 images for each map and maze). The system overall performance is acceptable and able to find the shortest path between two points on the images. More than 85% images can find the shortest path between the selected two points. 展开更多
关键词 Nawaf Hazim Barnouti Sinan Sameer Mahmood al-dabbagh Mustafa Abdul Sahib Naser
下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部