Procedural generation of angry birds levels that adapt to the player´s skills using genetic algorithm

This paper proposes a procedural generation method that automatically creates game levels for Angry Birds, a famous mobile game, using genetic algorithm. By adjusting the parameters of the genetic algorithm according to the player´s gameplay results, our proposed method can generate game levels that adapt to the player´s skills. Our experiment proves that the proposed method is able to procedurally generate game levels that befit the player´s skill.