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蜂群算法论文文档
- 群体智能 蜂群算法
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- 人工蜂群算法是模仿蜜蜂行为提出的一种优化方法,是集群智能思想的一个具体应用,它的主要特点是不需要了解问题的特殊信息,只需要对问题进行优劣的比较,通过各人工蜂个体的局部寻优行为,最终在群体中使全局最优值突现出来,有着较快的收敛速度。-English
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- 关于蜂群算法等一些新一代智能算法的英文文献,不仅有基础原理方面的讲解,更有更深层次的扩展,适合初学者学习-About bee colony algorithm and some English literature a new generation of intelligent algorithms, not only to explain the basic principles of knowledge, even deeper extension, suitable for beginne
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- 蜂群算法解决TSP的问题,以31个城市为例-Problem solving tsp with bee colony algorithm to coordinate data 31 cities in China as a case
fengqun
- 硕士论文:人工蜂群算法的研究。介绍了人工蜂群算法及其改进。-Master Thesis: the research of the artificial bee colony algorithm. The artificial bee colony algorithm and its improvement are introduced.
Colony-algorithm--gai
- 改进后的蜂群算法用于损伤识别,收敛速度快,识别精度高-The improved colony algorithm is used for damage detection, fast convergence rate, high recognition accuracy