Affiliations: [a] School of Art and Design, Hubei University of Economics, Wuhan, PR China | [b] School of Arts Design, Wuchang University of Technology, Wuhan, PR China | [c] Research Center of Hubei Logistics Development, Hubei University of Economics, Wuhan, PR China | [d] Darden School of Business, University of Virginia, VA, Charlottesville, USA
Correspondence:
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Corresponding author. Lin Pan, Research Center of Hubei Logistics Development, Hubei University of Economics, 430205, Wuhan, PR China. E-mail: [email protected].
Abstract: Group animation is a technology that simulates group behavior by computer. It matures with the continuous development of computer graphics. The things that need to be described are expressed in the form of anime, which not only clearly reflects the process of the event, but also shows a more realistic picture, and can also increase the cognitive range of group behavior to a certain extent. Based on the analysis of the advantages and disadvantages of artificial fish swarm algorithm, this paper improves the research on artificial fish swarm algorithm, and it is easy to fall into local optimum, and it is improved by using convergence and divergence behavior in social learning mechanism., to some extent, improve the search performance of the algorithm. Based on the collision detection and avoidance, the improved artificial fish swarm algorithm is used to plan the group behavior path, and the obtained path data is imported into Maya. The tools provided by Maya will be used to establish the characters, 3D scenes and planning. The paths are merged together to get the corresponding group animation effects.
Keywords: Artificial fish swarm algorithm, group animation design, intelligent algorithm, 3D scene
