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All Journal Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control
Setiawan Nugroho
Universitas Dian Nuswantoro
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

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Threat Construction for Dynamic Enemy Status in a Platformer Game using Classical Genetic Algorithm Ardiawan Bagus Harisa; Setiawan Nugroho; Liya Umaroh; Yani Parti Astuti
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 8, No. 3, August 2023
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v8i3.1724

Abstract

Digital game genre such as Action-Platformer is widely popular among buyers on a platform like Steam. The non-playable character enemies in the game are important in action games. Unfortunately, they usually have static attributes like health points, damage, and enemy movement. Using the combination of procedural content generation and dynamic difficulty adjustment with a classical genetic algorithm, we drive the threat value of a platform to construct the enemy status, resulting in more dynamic enemies. We use the threat value as an input parameter calculated from the enemies’ stats in every platform, such as total damage that the enemy might produce, the player’s health point, and the enemy’s movement speed. We conclude that using a classical genetic algorithm may produce dynamic enemy status through the desired threat or danger set by the game designer as an input parameter. Moreover, the game designer may limit the generation with constraints.
Co-Authors Ardiawan Bagus Harisa Liya Umaroh Yani Parti Astuti