首先，介绍了生物社会中的群体智能。
Swarm intelligence in biology society is introduced firstly.
本文对混沌群体智能进行了深入的研究。
A in-depth research is done to chaotic swarm intelligence in this pape.
粒子群优化算法是群体智能中一个新的分支。
Particle Swarm Optimization(PSO)algorithm is one of embranchments of swarm intelligence.
提出一种基于密度的启发性群体智能聚类算法。
A new heuristic density-based ant colony clustering algorithm (HDACC) is presented.
提出了一种基于群体智能的客户行为分析算法。
A customer behavior analysis algorithm based on swarm intelligence is proposed.
涉及到群体智能，蚂蚁并不是唯一一种让人类受启发的昆虫。
WHEN it COMES to SWARM intelligence, ants aren't the only insects with something useful to teach us.
本文基于群体智能建立无线传感器网络的覆盖优化策略。
The present research constructs a wireless sensor network coverage optimization strategy based on swarm intelligence.
大多数群体智能算法容易陷入局部最优，且收敛速度较慢。
Most swarm intelligence algorithms fall into local optimum easily, and convergence speed is very slow.
粒子群优化(PSO)算法是基于群体智能理论的优化算法。
Particle swarm Optimization (PSO) algorithm is based on swarm intelligence theory.
粒子群优化方法是一种基于群体智能的新型演化计算技术。
Reactive power optimization of power system based on genetic algorithm and particle swarm optimization algorithm;
实验结果显示了基于群体智能的离群数据挖掘算法的有效性。
Results show that the validity of outlier mining algorithm based on swarm intelligence.
蚁群算法是一种群体智能搜索算法，它来源于蚂蚁寻食的启迪。
Ant colony algorithm is a kind of swarm intelligence heuristic approach that inspired from ants finding foods.
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。
A grid job assignment scheme is proposed on the basis of the microeconomic method and swarm intelligence algorithm.
群体智能强调个体的简单性，群体的涌现性以及自下而上的研究策略。
Swarm intelligence highlights the simplicity of individuals, emergent property of the colony and bottom-up research strategies.
群体智能是一种在自然界生物群体所表现出的智能现象启发下提出的智能模式。
Swarm intelligence is a kind of intelligence mode enlightened by some intelligent colony behaviors in the nature.
粒子群优化(PSO)算法是一种基于群体智能的启发式搜索方法，应用领域很广。
Particle swarm optimization (PSO) is a heuristic search method based on swarm intelligence, and has been widely used to solve various problems in engineering fields.
蚁群算法是一种模拟群体智能的算法，在解决基于离散空间的问题时表现出良好的性能。
Ant Colony algorithm is a kind of algorithm that simulates swarm intelligence. It has a good performance in solving the problems based on Discrete Space.
为了提高群体智能聚类算法的运行效率，提出了利用主成分分析改善模式投影时的随机性。
To improve the running efficiency of the algorithm, the stochastic mapping of the patterns was modified based on principal component analysis.
通常将这样一种模拟群居性生物中的集体智能行为的智能计算或优化方法称为群体智能算法。
Usually, we call the intelligence computation or optimization method that simulates swarm intelligence behavior of gregarious colony as Swarm Intelligence Algorithms.
这些法则集合起来便成了另一种群体智能—这种法则与做出决策没有多大联系，但正好关系到同步的行动。
These rules add up to another kind of swarm intelligence-one that has less to do with making decisions than with precisely coordinating movement.
蚁群算法是一种新颖的求解复杂组合优化问题的模拟进化算法，它具有典型的群体智能的特性。
Ant Colony algorithm is a novel simulated evolvement algorithm solving complicated combinatorial optimization problem and its typical feature is swarm intelligence.
但根据对群体智能的研究表明，那些看起来是智能行为的举动实际上来自无意识而不是简单行动的复杂互动。
But according to studies on swarm intelligence, what appears to be intelligent behavior actually results from nothing more than the complex interaction of simple actions.
粒子群优化算法(PSO)作为一种群体智能算法，它为复杂优化问题的解决提供了一种新的思路。
As a swarm intelligence algorithm, particle swarm optimization (PSO) algorithm has provided a new way to find the solution of complex problems.
PSO算法是一种新型的基于群体智能的随机优化算法，简单易于实现且具有更强的全局优化能力。
PSO algorithm is a novel random optimization method based on swarm intelligence which has more powerful ability of global optimization.
混合蛙跳算法是一种全新的基于群体智能的后启发式计算技术，具有高效的计算性能和优良的全局搜索能力。
The shuffled frog leaping algorithm is a new post based on swarm intelligence heuristic computing technology, a highly efficient computing performance and good global search capability.
把该理论用于不确定性推理、智能计算、群体智能分析，思路清晰，算法简明，所得结果能较好地符合客观实际。
This theory is used in uncertainty inference, intelligence computing, and colony intelligence analysis. The results accord closely with practice.
把该理论用于不确定性推理、智能计算、群体智能分析，思路清晰，算法简明，所得结果能较好地符合客观实际。
This theory is used in uncertainty inference, intelligence computing, and colony intelligence analysis. The results accord closely with practice.
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