Implementation of Artificial Ant Colony Algorithm (AACA) in dynamic labyrinth generation for android-based 2D games

Darlis Herumurti; Imam Kuswardayan; Wijayanti Nurul Khotimah; Andhik Ampuh Yunanto; Andi Akram Yusuf

doi:10.1088/1742-6596/1511/1/012004

Implementation of Artificial Ant Colony Algorithm (AACA) in dynamic labyrinth generation for android-based 2D games

Darlis Herumurti^*, Imam Kuswardayan, Wijayanti Nurul Khotimah, Andhik Ampuh Yunanto, Andi Akram Yusuf

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › peer-review

2 Citations (Scopus)

Abstract

Playing games can make people feel fun. Players can be more fun if you have a lot of variations, for example, variations of items, maps, or enemies. Map variations can be fulfilled by implementing a dynamic labyrinth generator. In this research, the game has a feature called Dynamic labyrinth generation using the Artificial Ant Colony Algorithm (AACA) method. For deployment, this game is implemented on the Android mobile platform. The evaluation is conducted by testing functionality in system games. The result indicates AACA can generate dynamic mazes and with optimal time with less than five seconds. So, the conclusion from this research that the AACA method can generate dynamic labyrinth quickly and well for Android Game.

Original language	English
Article number	012004
Journal	Journal of Physics: Conference Series
Volume	1511
Issue number	1
DOIs	https://doi.org/10.1088/1742-6596/1511/1/012004
Publication status	Published - 5 Jun 2020
Event	2019 International Conference on Science Education and Technology, ICOSETH 2019 - Surakarta, Central Java, Indonesia Duration: 23 Nov 2019 → …

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title = "Implementation of Artificial Ant Colony Algorithm (AACA) in dynamic labyrinth generation for android-based 2D games",

abstract = "Playing games can make people feel fun. Players can be more fun if you have a lot of variations, for example, variations of items, maps, or enemies. Map variations can be fulfilled by implementing a dynamic labyrinth generator. In this research, the game has a feature called Dynamic labyrinth generation using the Artificial Ant Colony Algorithm (AACA) method. For deployment, this game is implemented on the Android mobile platform. The evaluation is conducted by testing functionality in system games. The result indicates AACA can generate dynamic mazes and with optimal time with less than five seconds. So, the conclusion from this research that the AACA method can generate dynamic labyrinth quickly and well for Android Game.",

author = "Darlis Herumurti and Imam Kuswardayan and Khotimah, {Wijayanti Nurul} and Yunanto, {Andhik Ampuh} and Yusuf, {Andi Akram}",

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AU - Khotimah, Wijayanti Nurul

AU - Yunanto, Andhik Ampuh

AU - Yusuf, Andi Akram

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AB - Playing games can make people feel fun. Players can be more fun if you have a lot of variations, for example, variations of items, maps, or enemies. Map variations can be fulfilled by implementing a dynamic labyrinth generator. In this research, the game has a feature called Dynamic labyrinth generation using the Artificial Ant Colony Algorithm (AACA) method. For deployment, this game is implemented on the Android mobile platform. The evaluation is conducted by testing functionality in system games. The result indicates AACA can generate dynamic mazes and with optimal time with less than five seconds. So, the conclusion from this research that the AACA method can generate dynamic labyrinth quickly and well for Android Game.

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Implementation of Artificial Ant Colony Algorithm (AACA) in dynamic labyrinth generation for android-based 2D games

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