Author:
Pardede Sara Lutami,Athallah Fadel Ramli,Huda Yahya Nur,Zain Fikri Dzulfiqar
Abstract
Pathfinding is one important method in many studies or works that consists of autonomous movement, such as robot, game, transportation, and so on. Pathfinding aims to find the most efficient route for the related autonomous entity. To date, there are many algorithms regarding to the pathfinding. Especially, there are four well-known pathfinding algorithms: A*, Theta*, Dijkstra, and Breadth First Search (BFS). Due to this circumstance, this work aims to observe and review these four well-known algorithms deeper. The discussion consists of the conceptual model or framework, the formalization, and the implementation. The result shows that these algorithms have been implemented in many game so that they are promising to be used in the future game development.
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. A Review of Path Planning Algorithms;Lecture Notes in Networks and Systems;2024
2. Optimizing Real-Time Path Planning for NPC Navigation: Leveraging CentA* Algorithm to Enhance Efficiency and Adaptability;2023 First International Conference on Advances in Electrical, Electronics and Computational Intelligence (ICAEECI);2023-10-19