片语

guttate pso点状牛皮癣

intelligent PSO智能PSO

Discrete PSO离散粒子群算法

General PSO广义粒子群优化模型

Pso asta意粉

Hardtop PSO聚硅氧烷面漆

Pso asco及帕斯科

Evolutionary PSO进化粒子群算法

英汉例句

• The experiment results show that if the period of communication is selected appropriate, this parallel PSO not only has perfect speedup, but also improves the quality of result.

  实验结果表明：若选择合适的通讯周期时，该并行微粒群算法不仅具有理想的加速比，而且有效地提高解的质量。

• The experimental result indicates that the modified PSO increases the ability to break away from the local optimum.

  实验结果表明，改进后的粒子群算法防止陷入局部最优的能力有了明显的增强。

• Using the PSO algorithm to optimize the on-line PID controller「s parameters, desirable control effect is obtained.

  通过运用PSO算法对PID控制器参数进行在线调整，使模型参考自适应控制达到理想的控制效果。

• This paper reviews the basic theory, and describes the seeking procedure of the personal best and the global best in PSO through establishing memory table.

  本文介绍了粒子群优化算法的基本原理，并通过建立记忆表，详尽描述了粒子群优化算法中个体极优和全局极优的搜寻求解过程。

• The improved PSO is then applied to optimal design of disk brake in order to minimize the brake time under the conditions of geometry constrain, intensity constrain and temperature constrain.

  应用此方法，以制动时间最短为目标，在几何约束、强度约束、温度约束等条件下，对盘式制动器的主要设计参数进行了优化设计。

• In order to meet the dynamic and real-time demands in the match of soccer robot, a new algorithm for path planning was advanced based on deeply researching the PSO algorithm.

  为了满足需求的动态实时的足球机器人在比赛中，提出了一种新的算法，提出了基于路径规划的深入研究了粒子群优化算法。

• We validate the correctness and effectiveness of the PSO in the antenna placement problem, which can provide an opinion and analytic method in many antennas system.

  本文验证了粒子群算法在天线布局问题中的正确性和有效性，这样也为更加复杂的多天线系统布局提供了思路和分析方法。

• The experimental results compared with genetic algorithm and a standard PSO show that the proposed algorithm is a feasible algorithm for solving constrained optimization problems.

  与遗传算法以及标準粒子群算法的实验比较表明，所提出的方法是一个可行的约束优化问题的求解算法。

• PSO has been proved to be an effective global optimization algorithm. It is easy to implement, quickly convergence, and has been successfully applied to many engineering fields.

  粒子群算法已经被证明是一种有效的全局优化算法，其收敛速度快，易于实现，已经成功地运用到了许多工程领域。

• Here, I」m going to show how PSO can be used to minimize functions.

  在这里，我将展示如何粒子群可用于最小化的功能。