It demonstrates the practicability of particle swarm optimization method in slope engineering.
论证了粒子群优化算法在边坡工程中的实用性。
To determine the optimal thresholds in image segmentation, a new multilevel thresholding method based on particle swarm optimization (PSO) is proposed in this paper.
为确定图像分割的最佳阈值，基于粒子群优化算法提出了一种多阈值图像分割方法。
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，建立基于粒子群算法的混凝土坝变形预报模型。
Three improved particle swarm optimization algorithms are proposed.
提出了三种改进的微粒群算法。
A new self-adaptive particle swarm optimization (AMPSO) is presented.
提出了一种新的自适应粒子群优化算法(AMPSO)。
In this paper, we review ant colony algorithm and particle swarm optimization.
本文讨论了群集智能的两种算法，蚁群智能与微粒群智能。
This is the detailed particle swarm optimization code. We can learn from the reference.
说明：这个是详细的粒子群算法代码。大家可以借鉴参考。
This paper proposes a particle swarm optimization based on local and global combined search.
提出一种基于局部与全局搜索相结合的粒子群算法。
This paper proposes a new hybrid particle swarm optimization method for unit commitment problem.
该文针对机组组合问题，提出了一种新的混合粒子群优化算法。
An improved particle swarm optimization algorithm embedded with greedy search for solution of unit commitment.
求解机组组合问题的嵌入贪婪搜索机制的改进粒子群优化算法。
The particle swarm optimization speeded up the evolution process, and improved the convergence speed and accuracy.
通过这种处理使得粒子群体的进化速度加快，从而提高了算法的收敛速度和精度。
An improved particle swarm optimization neural network for automatic detection fertility of hatching eggs is presented.
提出了一种基于改进粒子群神经网络进行孵化种蛋成活性自动检测的方法。
The paper studies the mathematical model of the dynamic reactive optimization and the particle swarm optimization (PSO).
论文研究了动态无功优化的数学模型和粒子群优化算法。
An adaptive particle swarm optimization (APSO) algorithm to solve the AGC unit dispatch problem in power system is proposed.
提出了一种基于自适应型粒子群优化算法(APSO)的自动发电控制(agc)机组调配方案。
A rolling load distribution optimization algorithm of tandem cold mill was designed using particle swarm optimization algorithm.
利用粒子群算法设计了一种冷连轧轧制负荷分配的优化方法。
In this paper, we propose an accurate and robust algorithm for solving the point matching problem using particle swarm optimization.
本文提出了一种基于粒子群优化算法的准确、快速和鲁棒性的点匹配方法。
A slope stability evaluation method based on particle swarm optimization (PSO) and least square support vector machine (LSSVM) is proposed.
提出了基于粒子群算法(PSO)和最小二乘支持向量机(LSSVM)的边坡稳定性评价方法。
A novel particle swarm optimization based on theory of molecular motion (MMT-PSO) was proposed, and the population was regarded as molecule system.
提出了一种新颖的基于分子动理论的粒子群优化算法(MMT - P SO)。
A new method of text dimension reduction is brought forward, based on pattern aggregation and adaptive general particle swarm optimization (AGPSO).
将模式聚合和自适应广义粒子群算法相结合，提出了一种文本属性约简新方法。
Based on the standard particle swarm optimization algorithm, a new algorithm using uniform design to determining parameters is presented in this paper.
在标准粒子群算法的基础上，针对关键参数经验设置法的局限性，提出了一种新的粒子群算法。
This algorithm can solve the problem of low precision and divergence of basic particle swarm optimization algorithm, so it has higher efficiency of search.
该算法能克服基本微粒群优化算法精度较低，易发散的缺点，有较高的搜索效率。
A method based on improved binary particle swarm optimization (PSO) is proposed for distribution network reconfiguration with the objective of load balancing.
提出了基于改进的二进制粒子群优化算法、以均衡负荷为目标的配电网重构方法。
The result shows that particle swarm optimization performs better in this case, which implies that the two methods traverse the problem hyperspace differently.
优化结果说明在这个例子中粒子群优化有更好的表现，这也说明两种方法在问题的多维空间中搜索最优解的方式不同。
In this paper, a modified particle swarm optimization algorithm is presented to solve knapsack problem, and the detailed realization of the algorithm is illustrated.
本文提出了改进的粒子群算法求解背包问题，阐明了该算法求解背包问题的具体实现过程。
This paper introduces the principles and characteristics of Particle Swarm Optimization algorithm, and puts forward an improved particle swarm optimization algorithm.
介绍基本粒子群优化算法的原理、特点，并在此基础上提出了一种改进的粒子群算法。
The particle swarm optimization (PSO) technique is applied to find the optimal location of TCSC with maximum system load ability and minimum cost of installation of TCSC.
提出一种采用粒子群优化技术，以系统载荷能力最大化及安装费用最小化为目标，确定TCSC最佳安装位置的方法。
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.
粒子群算法操作简便、容易实现且全局搜索功能较强，适用于非线性参数估计。
To solve the equation constrained optimization problems, two new particle swarm optimization algorithms are presented. The experimental results show the algorithms are effective.
提出了求解有等式约束优化问题的两种新粒子群优化算法，数值试验结果表明，算法是有效的。
On the basis of analyzing the particle swarm optimization and introducing the idea of sub-swarms, a particle swarm optimization algorithm with dynamic sub-swarms (DPSO) is proposed.
在分析基本微粒群优化算法的基础上，引进分群思想，提出了一种动态分群的微粒群优化算法(DPSO)。
On the basis of analyzing the particle swarm optimization and introducing the idea of sub-swarms, a particle swarm optimization algorithm with dynamic sub-swarms (DPSO) is proposed.
在分析基本微粒群优化算法的基础上，引进分群思想，提出了一种动态分群的微粒群优化算法(DPSO)。
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