swarm

n.蜂群，一大群

vi.泛滥，挤满；云集，涌往；成群地移动或出现；成群飞离蜂巢，用于蜜蜂

noun

1. 一大群（蜜蜂等昆虫）
   a large group of insects, especially bees , moving together in the same direction
   1. a swarm of bees/locusts/flies
      一大群蜜蜂 / 蝗虫 / 苍蝇
2. 一大群，一大批（向同方向移动的人）
   a large group of people, especially when they are all moving quickly in the same direction

verb

1. 成群地来回移动
   to move around in a large group
   1. Tourists were swarming all over the island.
      岛上到处是旅游者熙来攘往。
2. 成群地飞来飞去
   to move around together in a large group, looking for a place to live

过去式:swarmed 现在分词:swarming 名词复数形式:swarms 过去分词:swarmed 第三人称单数:swarms

swarm 嗡嗡声

来自古英语 swearm,嗡嗡声，来自 Proto-Germanic*swarmaz,嗡嗡声，来自 PIE*swer,蜂鸣声， 耳语声，拟声词，词源同 absurd.

1. A dark cloud of bees comes swarming out of the hive.
   黑压压的一大群蜜蜂从蜂巢中飞出来。
2. People swarmed to the shops, buying up everything in sight.
   人们成群地涌向商店，见什么买什么。
3. A swarm of people encircled the hotel
   一大群人围住了这个酒店。
4. Today at the crossing there were swarms of tourists taking photographs.
   今天在十字路口有大群的游客在拍照。
5. Within minutes the area was swarming with officers who began searching a nearby wood.
   几分钟内很多警察就来到了这一地区，开始搜查附近的树林。
6. A swarm of bees was gathering nectar among the flowers.
   一群蜜蜂在花丛中采蜜。
7. These shores will still swarm with the dead of my people.
   这一带海岸仍将到处有我们祖先的英灵出没。
8. Particle swarm optimization is described and analyzed; and it is applied to calibrate Xin'anjiang model.
   对粒子群算法进行了详细描述和分析，并将其应用于新安江模型的参数优选中。
9. Swarm intelligence in biology society is introduced firstly.
   首先，介绍了生物社会中的群体智能。
10. The reasons of premature convergence of Particle Swarm Optimization ( PSO) Algorithm were analyzed.
    分析了粒子群优化（PSO）算法易于发生早熟收敛的原因。
11. Classification is one tasks of data mining, using particle swarm optimization in classification especially classification rule extraction.
    分类是数据挖掘研究的主要内容之一，将微粒群算法应用于分类问题，进行分类规则的提取。
12. A new method of public traffic line network optimization is presented by particle swarm algorithm.
    针对公交线网优化问题，利用粒子群算法进行了研究。
13. In this paper, a modified particle swarm optimization method is proposed.
    提出了改进的粒子群优化算法。
14. New clustering algorithm based on Particle Swarm Optimization and simulated annealing
    一种新的基于粒子群和模拟退火的聚类算法
15. A grid job assignment scheme is proposed on the basis of the microeconomic method and swarm intelligence algorithm.
    基于微观经济学方法和群体智能算法，设计了一种网格作业分配机制。
16. A method to evaluate spatial straightness errors adopting particle swarm optimization ( PSO) is proposed.
    提出了一种满足最小区域法的空间直线度误差评价的新方法一粒子群算法。
17. A new hybrid clustering algorithm based on particle swarm optimization and FCM algorithm is proposed.
    提出了一种基于模糊C均值算法和粒子群算法的混合算法。
18. Particle Swarm Optimization ( PSO) algorithm has existed premature convergence for multimodal search problems.
    粒子群优化（PSO）算法对于多峰搜索问题一直存在早熟收敛问题。
19. Data Mining Method Research Based on Rough Set and Particle Swarm Optimization
    基于粗糙集和粒子群的数据挖掘方法研究
20. A structural damage identification method based on the support vector machine and the particle swarm algorithm was proposed.
    为了有效地进行结构的损伤识别，提出了一种基于支持向量机和粒子群算法的结构损伤识别方法。
21. A particle swarm optimization algorithm for low voltage apparatus blanking part layout optimization was presented.
    提出了一种粒子群算法的低压电器冲裁件排样优化问题的求解方法。
22. This paper describes a niching multi-objective Particle Swarm Optimization ( PSO) algorithm.
    提出一种小生境多目标粒子群优化算法。
23. The locust swarm has destroyed all the crops and vegetables.
    蝗虫群毁坏了所有的庄稼和蔬菜。
24. A particle swarm optimization algorithm source code, this is a VB source languages, it is practical.
    一种粒子群优化算法源程序，这是一个VB语言编制的源程序，很实用。
25. Space division particle swarm optimization is proposed to solve the high-dimensional numerical optimization problem in this paper.
    提出了一种适用于高维数值优化问题的空间分割微粒群算法。
26. A novel automatic registration method based on contour feature points and particle swarm optimization ( PSO) is presented.
    提出了一种基于轮廓特征点及利用PSO（粒子群优化）求解多模态医学图像自动配准新方法。
27. A new self-adaptive particle swarm optimization ( AMPSO) is presented.
    提出了一种新的自适应粒子群优化算法（AMPSO）。
28. Aimed at PSO's defect of prematurity, an improved particle swarm optimization ( IPSO) is presented.
    针对粒子群算法本身存在早熟的不足，提出了一种改进的粒子群优化算法（IPSO）。
29. So An optimal selection approach of SVR parameters was put forward based on improved particle swarm optimization algorithm.
    因此提出了基于改进粒子群算法的SVR参数优化选择方法。
30. The related researches would promote the development cognitive science and Swarm intelligence theory.
    相关的研究将促进群智能理论和认知科学的进一步融合发展。