firstly, the swarm-intelligence-based rescheduling model ( sirm) was presented.

approximate dynamic job-shop scheduling optimization for semiconductor assembly based on swarm intelligence

半导体封装作业调度的群体智能近似动态优化

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an algorithm for comparing machine performance based on swarm intelligence clustering

一种基于群体智能聚类的设备性能横向比较算法

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a clustering model and optimized algorithm based on swarm intelligent theory

基于群体智能理论的聚类模型及优化算法

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the swarm intelligence algorithm on combination problems such as tsp are discussed. to overcome the limitation of classical algorithm of vq codebook design, an improved algorithm that combines the swarm intelligence algorithm with the lbg algorithm is proposed.

探讨了新兴的群体智能算法在解决诸如TSP组合问题的性能，并针对经典的矢量量化码书设计算法的固有缺陷，提出了一种将群体智能算法和LBG算法结合的码书设计算法。

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as a kind of swarm intelligence algorithm, particle swarm optimization ( pso) finds the optimal solution by means of simulating the biont behaviors of birds foraging and so on, its character of fast convergence rate makes it receive more and more attentions from people.

粒子群算法（PSO）作为一种群体智能算法，通过模拟鸟群觅食等生物行为来找寻最优，其收敛速度快的特性使其受到人们越来越多的关注。

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this algorithm uses convergent si ( swarm intelligence) to find the optimal ensemble with using the c4.5 decision trees classifiers as based learners. meanwhile, experiments are carried out on uci data sets.

该方法使用C4.5决策树分类器作为基学习器，利用高速收敛的群体智能算法来寻找最优集成模型，并在UCI数据库的多值分类数据集上进行了实验。

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the research results, especially multi-agent generation environment mage, are used in some representative mas application domains, including parallel multi-media information retrieval, group intelligence decision support system, and e-commerce.

利用本文的研究成果，特别是多主体环境MAGE，初步实现了并行多媒体信息检索、群体智能决策系统、虚拟市场等若干应用系统。

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as a representative method of swarm intelligence, particle swarm optimization ( pso) is an algorithm for searching the global optimum in the complex space through cooperation and competition among the individuals in a population of particle.

作为群体智能的代表性方法之一，粒子群优化算法（PSO）通过粒子间的竞争和协作以实现在复杂搜索空间中寻找全局最优点。

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marco dorigo and other scholars have proposed an algorithm of ant colony optimization, the algorithm is simulated the intelligent behavior of ant colony.

Marco Dorigo等学者提出了模拟蚂蚁群体智能行为的蚁群算法。

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when solving the problem of qos routing with abc supported, there are multiple objects needed to be optimized at the same time in the routing mechanisms, which makes the problem into a multi-constrained qos routing problem.

在解决ABC支持型QoS路由问题的时候，路由机制中同时有多个目标需要进行优化，即成为一个多约束QoS路由问题，针对这个问题，本文使用群体智能算法予以解决。

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the comparative study shows that by using the model based on swarm intelligence and ca can predict better, more objective and more precise in the prediction of the number and spatial distribution of land use classes of beijing in 2008.

结果显示，基于群体智能及CA的城市土地利用时空动力学模型模拟预测效果较好，能够较为客观、准确地预测出2008年北京市土地利用各地类数量及空间分布状况。

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ant colony algorithm ( aco) is a swarm intelligence algorithm which shows many promising characters and has been applied successfully to categorical problem.

蚁群算法（ACO）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。

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this paper solves these both problems by particle swarm algorithm ( pso) which is a kind of swarm intelligence algorithms with a lot of advantages on complex optimization problems.

对于这两个问题的解决，论文引入粒子群算法（PSO），PSO作为一种群体智能算法，在复杂问题的寻优方面具有明显的优势。

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as a newly developed swarm intelligence paradigm, particle swarm algorithm is a very promising optimization tool, with many advantages in high-dimensional problems or tasks that lack prior knowledge.

作为一种新的群体智能方法，粒子群算法PSO是一个非常有前景的工具，在处理高维的以及缺乏领域知识的问题时尤其有用。

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to study the characters of the swarm intelligence algorithm, comparison with generation algorithm ( ga) on tsp shows the advantage of the swarm intelligence.

本文为了研究群体智能算法的特性，在传统的组合优化TSP问题上用经典的遗传算法与之对比，仿真实验表明智能算法具有一定的优势。

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the mas ( multi-agent systems) should be treated in the point of view of society because it is present the social activities of group.

MAS是一种社会群体智能活动，应该从社会角度研究MAS。

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artificial fish swarm algorithm ( afsa) is a new kind of swarm intelligent bionic algorithm based on the "looking for food" behaviour of fish swarm.

人工鱼群算法（Artificial Fish Swarm Algorithm，AFSA）是源于对鱼群觅食行为研究而提出的一种新型群体智能优化算法。

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as a new population-based intelligent optimization algorithm, because of its good global search and quick convergence ability, differential evolution ( de) has gradually become a research hotspot.

差分进化算法（differential evolution，DE）作为一种新兴的群体智能优化算法，因其具有较强的全局寻优能力和较快的寻优速率，逐渐成为研究的热点。

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particle swarm optimization ( pso) algorithm is a new population intelligence based algorithm and exhibits good performance on optimization.

粒子群优化算法（PSO）是模拟生物群体智能的优化算法，具有良好优化性能。

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particle swarm optimization ( pso) is a simple but effective swarm intelligence optimization, which has attracted more and more researchers' attention.

粒子群优化（Particle Swarm optimization，简称PSO）算法是一种有效、简单的群体智能优化算法，吸引了越来越多研究者的关注。

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