A literature review of genetic algorithm applied to games

Article type: Research Article

Authors: Liang, Hai | Li, Jiaqi^*

Affiliations: Faculty of Humanities and Arts, Macau University of Science and Technology, Macau, China

Correspondence: [*] Corresponding author: Jiaqi Li, Faculty of Humanities and Arts, Macau University of Science and Technology, Macau, China. E-mail: jiqli@must.edu.mo.

Abstract: In this paper, the following work is done: The application of genetic algorithms in games is discussed, and based on reading relevant references, the design of the algorithm is explained in detail; the current situation of combining algorithms with games is analyzed; the novelty of combining algorithms with games is explained; and the paper concludes with a summary of the considerations and the scope of application of using genetic algorithms in games. The aim of the study is to reduce the cost of consultation and understanding for game makers and researchers, allowing them to focus on the specific application of genetic algorithms in games to make the AI of the game evolvable and intelligent to the level of the players.

Keywords: Artificial intelligence, genetic algorithm, neural networks, game

DOI: 10.3233/JCM-226506

Journal: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 1, pp. 311-324, 2023