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。
The collective intelligence of an ant colony can serve as inspiration to help us solve complex human problems.
蚁群的集体智能能够作为一种启发，帮助我们解决人类所面临的复杂问题。
Ant Colony algorithm is a novel simulated evolvement algorithm solving complicated combinatorial optimization problem and its typical feature is swarm intelligence.
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。
This paper provides a model of the clustering and an optimized ant colony-clustering algorithm which is based on the swarm intelligence and that mathematic model is provided at the same time.
该文通过对现有群体智能理论和聚类算法的研究，提出了一种基于群体智能理论的聚类模型，并在此基础上给出了一种优化蚁群聚类算法。
Swarm intelligence is a kind of intelligence mode enlightened by some intelligent colony behaviors in the nature.
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。
Ant Colony Optimization (ACO) algorithm is a new swarm intelligence heuristic algorithm.
蚁群算法是一种新兴的群智能算法。
The basic and typical algorithm of swarm intelligence is particle swarm optimization and Ant colony oprimation.
目前，群智能理论研究领域有两种主要的算法：微粒群优化算法和蚁群优化算法。
Swarm intelligence highlights the simplicity of individuals, emergent property of the colony and bottom-up research strategies.
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。
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.
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。
Usually, we call the intelligence computation or optimization method that simulates swarm intelligence behavior of gregarious colony as Swarm Intelligence Algorithms.
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。
The swarm intelligence optimization algorithm include: ant colony optimization algorithm, particle swarm optimization algorithm, artificial bee colony algorithm and artificial fish swarm algorithm.
目前提出的群智能优化算法有蚁群优化算法、粒子群优化算法、人工鱼群算法、人工蜂群算法。
Ant Colony Algorithm (ACA) is an intelligence-optimized algorithm coming from the illumination of food-seeking behavior by ants based on the shortest route of daumone.
蚁群算法是受自然界蚂蚁觅食过程中，基于信息素的最短路径搜索食物行为启发，提出的一种智能优化算法。
Ant colony algorithm is a kind of swarm intelligence heuristic approach that inspired from ants finding foods.
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.
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。
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