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。
As a swarm intelligence algorithm, particle swarm optimization (PSO) algorithm has provided a new way to find the solution of complex problems.
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, AFSA has its weakness, such as high complexity, low optimizing precision and low convergence speed in the later period of the optimization.
但是作为一种新的群智能算法，人工鱼群算法有自身的不足，如算法的复杂度高、算法后期的收敛速度慢和收敛精度低等。
Particle Swarm Optimization as a Swarm Intelligence algorithm, has strong global search capability, can be used for training neural network to overcome the defect of BP algorithm.
然而在粒子群优化算法中，早熟现象时有发生，从而制约了算法的性能。
Particle swarm algorithm was an optimized algorithm based on swarm intelligence.
粒子群算法是一类基于群智能的随机优化算法。
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。
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。
Particle swarm Optimization (PSO) algorithm is based on swarm intelligence theory.
粒子群优化(PSO)算法是基于群体智能理论的优化算法。
A customer behavior analysis algorithm based on swarm intelligence is proposed.
提出了一种基于群体智能的客户行为分析算法。
PSO algorithm is a novel random optimization method based on swarm intelligence which has more powerful ability of global optimization.
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。
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。
A new algorithm of swarm intelligence, Particle swarm Optimization (PSO), which is an algorithm of simple implementation and fast convergence with few parameters, is introduced in this paper.
介绍了一种新的集群智能算法-微粒群算法(PSO)，该算法具有实现简单、参数少且收敛快的特点。
Optimization algorithm based on the swarm intelligence is a simulated evolutionary method that simulating the behaviors of social insects searching for food and building of nest.
基于群集智能的优化算法是一种仿生自然界动物昆虫觅食、筑巢行为的模拟进化算法。
Based on the swarm intelligence, Particle swarm optimization (PSO) algorithm is a kind of modern optimization method inspired by the research of the artificial life.
粒子群算法是基于群集智能、受到人工生命研究结果的启发而提出的一种现代优化方法。
Particle Swarm Optimization(PSO)algorithm is one of embranchments of swarm intelligence.
粒子群优化算法是群体智能中一个新的分支。
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.
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。
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。
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 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。
Results show that the validity of outlier mining algorithm based on swarm intelligence.
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。
By bringing the thought of swarm intelligence into particle filtering, a novel particle filter based on the artificial fish school algorithm is proposed.
将集群智能思想引入粒子滤波，提出一种新颖的基于人工鱼群算法的粒子滤波器。
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。
As a representative swarm-intelligence based optimization algorithm, Particle SwarmOptimization (PSO) algorithm is applied to capacitor optimization in the dissertation.
微粒群优化算法（PSO）是目前备受关注的群集智能算法的代表性方法，也是本文研究工作的算法基础。
As a representative swarm-intelligence based optimization algorithm, Particle SwarmOptimization (PSO) algorithm is applied to capacitor optimization in the dissertation.
微粒群优化算法（PSO）是目前备受关注的群集智能算法的代表性方法，也是本文研究工作的算法基础。
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