文章基本信息

标题：The Population-Based Optimization Algorithms for Role Modelling and Path Generation in Group Animation
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作者：Liu, Hong ; Li, Yuanyuan ; Yu, Hanchao 等
期刊名称：Journal of Software
印刷版ISSN：1796-217X
出版年度：2014
卷号：9
期号：1
页码：26-36
DOI：10.4304/jsw.9.1.26-36
语种：English
出版社：Academy Publisher
摘要：Traditional animation by key frame techniques takes animators lots of time and vigour to model and simulate behaviours of crowds. For solving this problem, this paper presents a novel group animation generation approach based on population-based optimization algorithms. It is mainly divided into two parts. First, it puts forward a role modelling approach based on dynamic self-adaptive genetic algorithm and NURBS technology. Second, following the introduction to PSO (Particle Swarm Optimization) algorithm, a group path generative approach is presented. It simulates group behaviours, including cohesion and separation, dynamic object tracking and collision avoidance. Finally, a group of shark modelling and path generation images are exhibited as examples.
关键词：group animation;role modelling;genetic algorithm;PSO algorithm;path generation