A Systematic Review and Analysis of Intelligence-Based Pathfinding Algorithms in the Field of Video Games

Lawande, S.R. and Jasmine, G. and Anbarasi, J. and Izhar, L.I. (2022) A Systematic Review and Analysis of Intelligence-Based Pathfinding Algorithms in the Field of Video Games. Applied Sciences (Switzerland), 12 (11). ISSN 20763417

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Abstract

This paper provides a performance comparison of different pathfinding Algorithms used in video games. The Algorithms have been classified into three categories: informed, uninformed, and metaheuristic. Both a practical and a theoretical approach have been adopted in this paper. The practical approach involved the implementation of specific Algorithms such as Dijkstra�s, A-star, Breadth First Search, and Greedy Best First. The comparison of these Algorithms is based on different criteria including execution time, total number of iterations, shortest path length, and grid size. For the theoretical approach, information was collected from various papers to compare other Algorithms with the implemented ones. The Unity game engine was used in implementing the Algorithms. The environment used was a two-dimensional grid system. Copyright: © 2022 by the authors. Licensee MDPI, Basel, Switzerland.

Item Type: Article
Additional Information: cited By 4
Depositing User: Mr Ahmad Suhairi UTP
Date Deposited: 19 Dec 2023 03:23
Last Modified: 19 Dec 2023 03:23
URI: https://khub.utp.edu.my/scholars/id/eprint/16682

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