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Volume 05 Issue 09 September 2022

Comparison of Flow Field and A-Star Algorithm for Pathfinding in Tower Defense Game
1Graldy Tirta Kumala,2 Wirawan Istiono
1,2Universitas Multimedia Nusantara & Jl. Scientia Boulevard, Curug Sangereng Kelapa dua, Tangerang, Indonesia
DOI : https://doi.org/10.47191/ijmra/v5-i9-20

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ABSTRACT:

Tower Defense is a game genre that uses a pathfinding algorithm. Pathfinding is a way to find a path from one point to another; pathfinding itself has many variants with different scenarios. One of these algorithms is the A-Star algorithm, a well- known and commonly used method for game pathfinding. Another algorithm is the Flow Field algorithm, which is an algorithm that is not widely known and has become the topic in this following research. This research will be carried out by comparing the time required by both algorithms to reach the target point from starting point, and time comparison will be carried out in 3 different scenarios. The result of the research is that the Flow Field algorithm reaches the target faster than A-Star Pathfinding in every scenario carried out in the simulation. This research concludes that the Flow Field algorithm can compete with the A-Star algorithm to find paths in the Tower Defense game.

KEYWORDS:

Flow field algorithm, A-Star, Pathfinding, Artificial Intelligence, Algorithm Comparison

REFERENCES

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Volume 05 Issue 09 September 2022

There is an Open Access article, distributed under the term of the Creative Commons Attribution – Non Commercial 4.0 International (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/), which permits remixing, adapting and building upon the work for non-commercial use, provided the original work is properly cited.


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