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Pathfinding in Strategy Games and Maze Solving Using A* Search Algorithm

机译:策略游戏中的寻路和使用A *搜索算法的迷宫解决

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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.
机译:寻路算法解决了找到从源到目的地的最短路径并避免障碍的问题。在计算机游戏中设计逼真的人工智能(AI)时,最大的挑战之一就是智能体移动。寻路策略通常被用作任何AI运动系统的核心。在这项工作中,使用A *搜索算法来查找表示地图或迷宫的图像上源和目标之间的最短路径。在迷宫中寻找路径是计算机科学的基本问题,可以采取多种形式。 A *算法广泛用于寻路和图形遍历。不同的地图和迷宫图像用于测试系统性能(每个地图和迷宫100张图像)。系统的整体性能是可以接受的,并且能够找到图像上两点之间的最短路径。超过85%的图像可以找到所选两点之间的最短路径。

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