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Impact of algorithmic and data structure implementation to game development
- 1 College of Letters and Science, University of Wisconsin-Madison, Madison, 53706 , United States
- 2 Electrical Engineering and Computer Science, Syracuse University, Syracuse, 13210, United State
- 3 College of Arts and Sciences, University of Miami, Miami, 33146, United State
* Author to whom correspondence should be addressed.
Abstract
Many game developers tend to build their proprietary game engines with various algorithmic and data structure implementations. This work discusses a game made using the Pygame library that utilizes a maze generation algorithm, collision detection algorithm, and 2d shadow drawing algorithm to analyze how programming implementation could impact the game's representation, optimization, and future development. In this paper, various algorithms and data structures are compared based on their characteristic and performance, which leads to an analysis of how the game would differ from its current state if alternative implementations are used. It also addresses the issues raised by algorithms and data structures based on their interdependence relationship.
Keywords
Game Development, Framework, Algorithms, Data structures, Optimization
[1]. Red Blob Games.(2012). 2d visibility. https://www.redblobgames.com/articles/visibility/.
[2]. BrendanL.K. (2013). Swept AABB Collision Detection and Response. https://www.gamedev.net/ articles/programming/general-and-gameplay-programming/
[3]. Continuous collision detection. https://nphysics.org/ continuous_collision_detection/
[4]. Red Blob Game. [n. d.]. Introduction to A*. https://theory. stanford.edu/~amitp/GameProgramming/AStarComparison.html
[5]. Ryan Frazier. (2021). 2D Binary Spacing Partitioning with Python and NetworkX. https://www.fotonixx.com/posts/ 2d-binary-spacing-partitioning-with-python-and-networkx/
[6]. Berglund(2017) Carl Berglund. 2017. Designing a simple game AI using Fi- nite State Machines. designing-a-simple-game-ai-using-finite-state-machines. https://www.gamedeveloper.com/programming/swept-aabb-collision-detection-and-response-r3084/
[7]. Buck. (2011). Maze Generation: Aldous- Broder algorithm. http://weblog.jamisbuck.org/2011/1/17/ maze-generation-aldous-broder-algorithm
[8]. Edward Green. (2020). Procedural maze generator using python. https://edtg.co.uk/2020/04/16/ procedural-maze-generator-using-python/
[9]. Jon. (2015).Continuous Collision Detection (CCD). https://www.stencyl.com/help/view/continuous-collision-detection/
[10]. Daemian Mack. (2019). Mazes for Programmers: Dijkstra’s algorithm. https://daemianmack.org/posts/2019/12/mazes-for-programmers-dijkstras-algorithm.htmls
[11]. Deepak Reddy. [n. d.]. Collision Detection in pygame susing Python. https://www.codespeedy.com/ collision-detection-in-pygame-using-python/
Cite this article
Xie,Y.;Zheng,J.;Chen,K. (2024). Impact of algorithmic and data structure implementation to game development. Applied and Computational Engineering,31,96-103.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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Volume title: Proceedings of the 2023 International Conference on Machine Learning and Automation
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