The collective behavior of animals has attracted considerable interest in various fields, such as computer science, robotics, and complex networks. When designing collective behavior using an artificial system, it is difficult to predict which individual behavior leads to the desired collective behavior. In this paper, interactive evolutionary computation is applied to generate collective behavior by automatically adjusting individual parameters based on the designer’s subjectivity. The Boids model is used to simulate the collective behavior. The results show that the interactive evolutionary computation was sufficient to generate collective behavior without the designer having specialized expertize.