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Research and implementation of group animation path planning based on Firefly algorithm

机译:基于萤火虫算法的组动画路径规划研究与实现

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Based on the standard FA easily traps in a local optimum, this paper presents a method that the current particle choose the one in its visual field which has the best fitness as the global best particle. The experiment shows the advantaged algorithm has a better global search ability. The paper uses the advantaged FA into the group animation, the particle has good artificial intelligence performance, and can simulate group behavior in an actual way.
机译:基于标准FA轻松陷阱在局部最佳状态下,本文提出了一种方法,即当前粒子在其视野中选择一个,其具有最佳的适合作为全球最佳粒子。 实验表明了优势算法具有更好的全球搜索能力。 本文使用优势FA进入组动画,粒子具有良好的人工智能性能,并可以以实际方式模拟群体行为。

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