An Approach for Team Composition in League of Legends using Genetic Algorithm

Weighting the Position & Skillset of Players in League of Legends Using Analytic Hierarchy Process

“…The second issue is finding the importance of positions and the skillsets required to play at a certain position in the team. According to Costa et al (2019), the success and competitiveness of a team depends on the player's experience and knowledge. The experience comes from knowing how to play the position they are good at.…”

“…League of Legends is a competitive multiplayer online battle arena (MOBA) game where a team of five fights against another team of five in order to destroy the opponent's base (called the Nexus) as the winning condition in a map called Summoner's Rift (Riot, 2020). Communicative ability and teamworking skill among teammates are important in achieving success (Costa, 2019). Deciding who plays in a team can determine whether the team wins or loses, therefore this study will use Analytic Hierarchy Process in weighting player roles and skillset to highlight the level of importance and significance of finding a suitable player for a certain position.…”

Arquitectura de un Agente Racional para recomendar que objetos comprar en un videojuego tipo MOBA

“…It uses Genetic Algorithms to maximize the probability to win a match recommending the virtual avatar to choose. It has as constraint the virtual avatars already chosen by his teammates and enemies during the bans and picks phase [12].…”

“…A limitation commonly mentioned in research is how to introduce into machine learning models the synergies that must exist between players of the same team. Related to this question, the Team Composition category was created for those papers that seek objectives related to the roles of each player within a team [10] [62], the analysis of player behavior in the composition of a team [11] [71] [72] [64] [73], predicting the outcome of a game considering synergies between players [16] [74] or optimizing the construction of a team of players [34] [32] [12] [75] [67].…”

“…Specially, Artificial Intelligence researchers have found in MOBA videogames an interesting playground for the application of a wide spectrum of machine learning techniques. They have used techniques to predict an outcome such as whether a team will win a match [10], to generate a recommendation of an in-game action [11], and to find the best solution from all feasible options [12]. These techniques have also been used as components in rational agents which help players [13] or spectators [14] to improve their experience.…”