Developing Competitive Strategies for Legends of Runeterra using Genetic Algorithm

DOI: 10.5753/sbgames.2024.241320 Publication Date: 2025-01-03T12:07:51Z
ABSTRACT
Card games have long served as recreational tools across various cultures. This genre has also followed the trends of digital gaming industry, with numerous now featuring competitive scenes substantial prizes, such Legends Runeterra. paper proposes an automatic generator for deck lineups in Runeterra, assessing extensive match databases using a Genetic Algorithm that evaluates candidate solutions based on three different generation strategies. study introduces evaluation function and presents empirical results concerning effectiveness efficiency approach. The findings indicate proposed method is useful representative context all addressed
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