查询词典 swarm

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。

In: Proceedings of the 1999 Congress on Evolutionary Computation, Piscataway, NJ: IEEE Press, 1999: 1958~1962.[9] Kennedy J. Small worlds and Mega-minds: effects of neighborhood topology on particle swarm performance. In: Proceedings Congress on Evolutionary Computation, Piscataway, NJ: IEEE Press, 1999: 1931~1938.[10] Peram T, Veeramachaneni K, Mohan C K. Fitness-distance-ratio based particle swarm optimization.

近来性能较为显著的基于PSO算法的改进算法有Thanmaya Peram[10]等人于2003年提出的基于粒子群优化的适应值-距离-比例算法(Fitness-Distance-Ratio based Particle Swarm Optimization， FDR-PSO)，在此算法中每个粒子根据一定的适应值-距离-比例原则，向附近具有较好适应值的多个粒子进行不同程度的靠近，而不仅仅只向当前所发现的最好粒子靠近。

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。

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。

In addition, we observe the results can become better with swarm size increasing from the sensitivity study to swarm size.

从可测性研究中，我们得到了问题的维数和种群大小的关系。

Although translator has turned from being a crystal ball by which the original culture can unrestrainedly penetrate to another crystal ball by which the target culture can freely traverse, the translator's personal embodiment, in the process of cognitive act, are still absent in translation studies. Translators are still subjects without body or simply disembodied subjects.

译者虽然由原语文化可以自由穿透的玻璃球变成了译语文化可以自由穿越的玻璃球，但译者认知过程中的个体体验在翻译研究中依然缺席，译者依然仅仅是一个没有躯体体验的主体。

Chillingly, he claimed our technology is 'not nearly as sophisticated' as theirs and "had they been hostile", he warned 'we would be been gone by now'.

令人毛骨悚然的，他声称我们的技术是'并不那么复杂，像他们一样，和"如果他们敌意"，他警告说，'我们将现在已经过去了。