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。
Particle swarm optimization algorithm is a new and efficient evolutionary computation method.
粒子群优化算法是一种新型、高效的进化计算方法。
Particle swarm optimization is a kind of self-adaptive random algorithm based on group hunting strategy.
粒子群优化算法是一种基于种群搜索策略的自适应随机算法。
Particle swarm optimization (PSO) algorithm is a new intelligent one with simple principle which is easy to implement.
微粒群算法是一种新型的智能优化算法，有较强的发现最优解的能力，且算法简单，易于实现。
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。
Particle swarm optimization (PSO) is a new stochastic optimization technique originating from artificial life and evolutionary computation.
粒子群优化(PSO)算法是一类新兴的随机优化技术，其思想来源于人工生命和演化计算理论。
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 classical Particle swarm optimization (PSO) algorithm is a powerful method to find the minimum of a numerical function, on a continuous definition domain.
经典的粒子群优化算法是一个在连续的定义域内搜索数值函数极值的很有效的方法。
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。
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。
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。
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。
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