• The PSO algorithm is already successfully applied in the optimization of various static environments.

    P SO算法成功地应用各类静态函数的优化中。

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  • The PSO algorithm is put into estimating solute transport parameters in streams from tracer experiment data.

    河流水质模型参数识别建立河流水质数学模型、预报河流水质状态变化的基本数据

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  • 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控制效果。

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  • In the method, peak is used as fitness function, and the PSO algorithm is used to withdraw blindly from several signals.

    采用峰度作为适应度函数,利用粒子算法多个信号混合而成的信号进行抽取。

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  • In order to improve its performance, the paper puts forward a hybrid algorithm which blends the PSO algorithm and simulated annealing algorithm.

    为了提高优化性能粒子算法模拟退火算法结合,得到了粒子群-模拟退火混合调度算法。

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  • This paper proposed a novel Particle Swarm Optimization (PSO) hybrid algorithm to improve the optimum speed and performance of the PSO algorithm.

    为了提高粒子算法速度精度,提出改进PSO混合算法。

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  • This paper incorporates chaos optimization algorithm into the PSO algorithm, and propose a new particle swarm optimization algorithm based on chaos searching (CPSO).

    文章混沌优化搜索技术引入P SO算法中,提出基于混沌搜索的粒子优化算法。

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  • 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.

    为了满足需求动态实时足球机器人比赛中,提出一种新的算法提出基于路径规划深入研究粒子群优化算法。

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  • It makes the search space some sub-region, USES the PSO algorithm to optimize in each region, compares these sub - region global optimums and finds out the search space global optimums.

    搜索空间划分成若干个子区域各个区域中均使用标准P SO算法进行寻通过比较各个子区域的全局最优解,从而得出整个搜索空间的全局最优。

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  • Aiming at the optimization problem in engineering, this paper proposes a new algorithm for con-strained optimization problem by combining PSO with death penalty.

    针对工程中的优化问题粒子群算法死亡罚函数法相结合,提出求解有约束问题的优化算法

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  • The experimental results show that the performance of the proposed parallel algorithm is better than that of the standard PSO.

    实验结果表明并行算法性能标准微粒群算法了很大提高。

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  • The Particle Swarm Optimization (PSO) algorithm was used to deal with task assignment problem in multi-suppliers' participation in collaborative product development.

    通过粒子最优化算法解决供应商参与协同产品开发时的任务指派问题

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  • Considering that the particle swarm optimization (PSO) algorithm is quite simple and easy to implement, it was used to estimate the nonlinear model parameters in this paper.

    粒子算法操作简便容易实现且全局搜索功能强,适用非线性参数估计

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  • The classical Particle swarm optimization (PSO) algorithm is a powerful method to find the minimum of a numerical function, on a continuous definition domain.

    经典粒子优化算法一个连续的定义域内搜索数值函数极值的很有效的方法

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  • It makes a searching for all local optimization of the multimodal function that a PSO algorithm based on chaos sequence for multi-modal function optimization.

    基于混沌序列函数微粒群算法目标就是找到多函数所有局部优化峰值。

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  • An algorithm for discretization based on Particle swarm optimization (PSO) is presented, which can settle the problem of continuous attributes discretization in systema modeling perfectly.

    提出了一种基于微粒优化(PSO)算法连续属性离散方法,很好的解决建模过程连续属性的离散化问题

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  • To improve the searching performance of Particle Swarm Optimization (PSO), a modified PSO algorithm with flying time adaptively adjusted was proposed and named FAA-PSO algorithm.

    改善粒子优化算法搜索性能提出一种飞行时间自适应调整粒子算法(FAA - P SO)。

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  • Particle Swarm Optimization (PSO) algorithm is a powerful method to find the extremum of a continuous numerical function.

    微粒优化算法求解连续函数极值一个有效方法

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  • For improving the predicting results, two improved PSO algorithm are presented also in this paper: Velocity Mutation PSO and hybrid PSO.

    基础上,进一步提出了混合粒子算法速度变异粒子群算法两种改进算法提高优化性能。

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  • This paper presents a new polygonal approximation approach based on the particle swarm optimization (PSO) algorithm.

    本文提出一种新的基于多边形逼近算法粒子优化算法

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  • The particle swarm optimization(PSO) algorithm, is used to train neural network to solve the drawbacks of BP algorithms which is local minimum and slow convergence.

    针对多层前馈网络误差反传算法存在的收敛速度,且易陷入局部极小缺点,提出了采用微粒算法PSO训练多层前馈网络权值的方法。

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  • Theoretical analysis proves that the M-PSO algorithm keeps convergence.

    通过理论分析证明算法具有良好收敛性

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  • 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.

    粒子算法基于群集智能、受到人工生命研究结果启发而提出的现代优化方法

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  • An improved particle swarm optimization (PSO) algorithm was designed. And a weighted ITAE index of turbine speed error was taken as the fitness function of the improved PSO algorithm.

    提出了一种新的改进粒子优化算法水轮机转速偏差加权ITAE指标作为改进粒子群优化算法的适应度函数

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  • A concrete dam deformation forecasting model is established based on the particle swarm optimization (PSO) algorithm and the traditional multi-statistical regression model.

    将粒子群算法引入大坝安全监控领域,并结合多元回归统计模型建立基于粒子算法混凝土变形预报模型。

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  • The simulation results show that the improved PSO algorithm can solve the high-dimensional numerical optimization problem effectively.

    实验结果表明改进微粒群算法可以有效地解决高维数值优化问题

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  • Building up decision tree by improved PSO, the paper gives the example to validate that the improved algorithm is better than the original decision tree method and by improved by GA.

    改进P SO引入决策建树方法中,并传统决策树方法及使用遗传算法改进后的树进行比较验证了其优越性。

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  • Building up decision tree by improved PSO, the paper gives the example to validate that the improved algorithm is better than the original decision tree method and by improved by GA.

    改进P SO引入决策建树方法中,并传统决策树方法及使用遗传算法改进后的树进行比较验证了其优越性。

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