本文采用改进粒子群算法求解货物装载问题。
In this paper, a particle swarm algorithm was presented to solve the Freighting problem.
它是结合网格原理与粒子群算法(PSO)。
It was combined grid theory with Particle Swarm Optimization (PSO).
论证了粒子群优化算法在边坡工程中的实用性。
It demonstrates the practicability of particle swarm optimization method in slope engineering.
粒子群优化算法是群体智能中一个新的分支。
Particle Swarm Optimization(PSO)algorithm is one of embranchments of swarm intelligence.
粒子群算法是一类基于群智能的随机优化算法。
Particle swarm algorithm was an optimized algorithm based on swarm intelligence.
现在，我们不讨论单个的粒子，我们讨论粒子群。
Now, instead of talking about individual particles, we talk about ensembles of particles.
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 particle swarm optimization based on local and global combined search.
在这里，我将展示如何粒子群可用于最小化的功能。
Here, I'm going to show how PSO can be used to minimize functions.
粒子群优化算法是一种新型、高效的进化计算方法。
Particle swarm optimization algorithm is a new and efficient evolutionary computation method.
论文研究了动态无功优化的数学模型和粒子群优化算法。
The paper studies the mathematical model of the dynamic reactive optimization and the particle swarm optimization (PSO).
提出了用于解决作业车间调度问题的离散版粒子群算法。
A discrete Particle Swarm Optimization (PSO) algorithm was presented for Job Shop scheduling problem.
说明：这个是详细的粒子群算法代码。大家可以借鉴参考。
This is the detailed particle swarm optimization code. We can learn from the reference.
根据复极性粒子群电极理论，提出了新的活性炭再生方法。
Based on the bipolar particle electrode theory, a new regeneration method was suggested.
耗散粒子群算法是一种结合自组织耗散理论的粒子群算法。
Dissipative Particle Swarm Optimization (DPSO) is developed according to the self-organization of dissipative structure.
粒子群优化(PSO)算法是基于群体智能理论的优化算法。
Particle swarm Optimization (PSO) algorithm is based on swarm intelligence theory.
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 is a kind of self-adaptive random algorithm based on group hunting strategy.
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。
An improved particle swarm optimization algorithm embedded with greedy search for solution of unit commitment.
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。
This paper proposes a new hybrid particle swarm optimization method for unit commitment problem.
粒子群优化(PSO)算法对于多峰搜索问题一直存在早熟收敛问题。
Particle Swarm Optimization (PSO) algorithm has existed premature convergence for multimodal search problems.
算例证实了算法的有效性，通过和基本粒子群算法比较显示其优越性。
Study cases showed the validity of the algorithm. The compare with basic particle swarm algorithm showed its superiority.
一种粒子群优化算法源程序，这是一个VB语言编制的源程序，很实用。
A particle swarm optimization algorithm source code, this is a VB source languages, it is practical.
然而在粒子群优化算法中，早熟现象时有发生，从而制约了算法的性能。
Particle Swarm Optimization as a Swarm Intelligence algorithm, has strong global search capability, can be used for training neural network to overcome the defect of BP algorithm.
为了加快粒子群算法的收敛速度，论文在传统粒子群算法中引入了记忆机制。
In order to speed up convergence, this paper implants the memory mechanism in the traditional binary PSO.
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。
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.
在研究粒子群优化算法生物特征的基础上，提出了粒子群优化算法的异步模式。
This paper proposes an asynchronous pattern from analyzing on the biologic character of particle swarm optimization.
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 novel particle swarm optimization based on theory of molecular motion (MMT-PSO) was proposed, and the population was regarded as molecule system.
在标准粒子群算法中引入非线性变化权重和变异操作来保证全局收敛并提高收敛精度。
By introducing the nonlinear variation weight and mutational operation into the standard particle swarm algorithm to ensuring the overall convergence and enhance the accuracy of convergence.
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。
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。
This paper introduces the principles and characteristics of Particle Swarm Optimization algorithm, and puts forward an improved particle swarm optimization algorithm.
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