Procedural generation of angry birds levels that adapt to the player's skills using genetic algorithm
Misaki Kaidan, Chun Yin Chu, Tomohiro Harada, Ruck Thawonmas · 2015
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.