查询词典 swarm

After studying the characteristics of Particle Swarm Optimization,Particle Swarm Optimization is used in wavelet domain to optimize the thresholds,and garrote shrinkage function is used to process wavelet decomposition coefficients,which overcome the shortcoming of discontinuity of hard-threshold and decreased the fixed bias of soft-threshold.

研究粒子群优化算法的特性，将其应用于小波域，对阈值进行寻优，并使用garrote阈值函数量化小波分解系数，而garrote阈值函数既克服了硬阈值函数的不连续性，也减小了软阈值函数存在的恒定偏差。

An integer coded hybrid particle swarm optimization algorithm which incorporates the crossover and mutation operators of Genetic Algorithm with basic particle swarm optimization is proposed to solve the model, and a C ++ code is programmed.

同时提出基本粒子群优化算法与遗传算法交叉、变异算子相结合的整数编码的混合粒子群优化算法来求解该选址模型，并编制了相应的C++程序。

Existing particle swarm algorithm and its variations converge slowly and get into local extremum easily. Due to this, based on the characteristics of current conceptual designing, an improved particle swarm optimizational model based on dynamic niche is proposed in this paper.

现有的微粒群算法及其变种都有着收敛速度慢、容易陷入局部极值问题，再针对目前创新概念设计的特点，本文提出一种改进的基于动态小生境的微粒群优化模型。

As a representative method of swarm intelligence, particle swarm optimization is an algorithm for searching the multidimensional complex space efficiently through cooperation and competition among the individuals in a population of particles.

作为群集智能的代表性方法之一，粒子群优化算法通过粒子之间的合作与竞争以实现对多维复杂空间的高效搜索。

Particle swarm optimizer with neighborhood topology on particle swarm performance.

Kennedy[9]于1999年提出几种基本的领域结构，如环形结构和轮形结构及它们的推广。

As the parameters are numerous in non-rigid registration model, the particle swarm optimization algorithm is selected to achieve exploration and exploitation in the whole feasible space accurately and fleetly for the unknown parameters of nonrigid transformation. Particle swarm optimization algorithm has the characteristic of fast global searching for the optimal, but it is restricted in applications by the inclination of its particles falling into premature convergence.

在非刚性图像配准的框架下，提出应用Wendland紧支径向基函数作为参数化的空间变换模型，并针对非刚性配准模型的未知参数量大的问题，提出应用全局化的粒子群优化算法对整个可行性空间进行快速而准确的探索和挖掘，以求得非刚性变形的未知参数。

Based on Particle Swarm Optimization Algorithm for Scheduling Workflow By studying the mechanism of Particle swarm Algorithm and linking grid service workflow scheduling features, according to quality of grid service, IBPSOA is given, which is an alternative path to the integer-binary coding operations, and dynamic service scheduling algorithm.

3基于粒子群算法的工作流优化调度通过研究粒子群算法PSOA的机理结合网格服务工作流调度的特点，依据网格服务质量QoS，提出了基于粒子群的整数-二进制编码业务路径替代、动态服务调度算法IBPSOA。

Moreover,the residual sum of squares in least-square principle is introduced into the fitness function to enhance the fitting precision of the sensor p...

实验结果表明，该方案应用于土壤信息采集系统，不仅可以达到比粒子群优化(Particle swarm optimization，简称PSO)算法和量子粒子群优化(Quantum-behaved particle swarm optimization，简称QPSO)算法更好的寻优结果，而且具有比遗传算法更理想的位置拟合精度，是一种有效可行的传感器配置方法。

In the hybrid particle swarm algorithm, the particle swarm algorithm is applied to search in the global solution space.

在混合粒子群算法中，采用粒子群算法进行大范围全局搜索。

Based on the comparison with particle swarm optimization algorithm,quantum particle swarm inversion algorithm is studied in this paper.

在与微粒群算法进行比较的基础上，研究了量子微粒群反演算法。

We will see more and more activist government policies that distinguish economic activities according to the nationality of the actors.

我们将看到越来越多激进的政府政策，这些政策根据企业的国籍来区分经济活动。

If we can prove the independence of an axiomatic system, then we can guarantee the conciseness of this system, ie.

如果能够证明某个一阶谓词系统的独立性，那么就能够保证该系统的建立是精炼的，即没有任何一条公理或推理规则是多余的。