Application of A-Star Algorithm on Pathfinding Game
Pathfinding is the method for determining the shortest path. Pathfinding is widely used in various fields of Computer Science. One of them is game development. This research will design and analyze the pathfinding using the A-Star algorithm and implement it on a tree planting game. The Artificial In...
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          | Published in | Journal of physics. Conference series Vol. 1898; no. 1; pp. 12047 - 12052 | 
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| Main Authors | , , | 
| Format | Journal Article | 
| Language | English | 
| Published | 
        Bristol
          IOP Publishing
    
        01.06.2021
     | 
| Subjects | |
| Online Access | Get full text | 
| ISSN | 1742-6588 1742-6596 1742-6596  | 
| DOI | 10.1088/1742-6596/1898/1/012047 | 
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| Abstract | Pathfinding is the method for determining the shortest path. Pathfinding is widely used in various fields of Computer Science. One of them is game development. This research will design and analyze the pathfinding using the A-Star algorithm and implement it on a tree planting game. The Artificial Intelligence in the game will find its own shortest path from the start node to the goal node. The heuristic of A-Star is the Manhattan Distance that allows movement in four different directions. The result shows that the number of visited nodes will increase if the grid has many obstacle nodes, and the average time of the A-Star pathfinding process is 0.0732 seconds. | 
    
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| AbstractList | Pathfinding is the method for determining the shortest path. Pathfinding is widely used in various fields of Computer Science. One of them is game development. This research will design and analyze the pathfinding using the A-Star algorithm and implement it on a tree planting game. The Artificial Intelligence in the game will find its own shortest path from the start node to the goal node. The heuristic of A-Star is the Manhattan Distance that allows movement in four different directions. The result shows that the number of visited nodes will increase if the grid has many obstacle nodes, and the average time of the A-Star pathfinding process is 0.0732 seconds. | 
    
| Author | Pohan, Rahmat Irfan Candra, Ade Budiman, Mohammad Andri  | 
    
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| Cites_doi | 10.1016/j.eswa.2019.07.029 10.1016/j.eswa.2009.12.023  | 
    
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| Copyright | Published under licence by IOP Publishing Ltd 2021. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.  | 
    
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| DOI | 10.1088/1742-6596/1898/1/012047 | 
    
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| References | Skiena (JPCS_1898_1_012047bib6) 2008 Mocholi (JPCS_1898_1_012047bib1) 2010; 37 Delling (JPCS_1898_1_012047bib5) 2009 Munir (JPCS_1898_1_012047bib4) 1998 Brondani (JPCS_1898_1_012047bib2) 2019; 138 Mathew (JPCS_1898_1_012047bib3) 2015; 47 Cui (JPCS_1898_1_012047bib7) 2011  | 
    
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| SubjectTerms | Algorithms Artificial intelligence Games Nodes Physics Shortest-path problems Tree planting  | 
    
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| Title | Application of A-Star Algorithm on Pathfinding Game | 
    
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