Three improved particle swarm optimization algorithms are proposed.
提出了三种改进的微粒群算法。
It was combined grid theory with Particle Swarm Optimization (PSO).
它是结合网格原理与粒子群算法(PSO)。
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。
Particle swarm algorithm was an optimized algorithm based on swarm intelligence.
粒子群算法是一类基于群智能的随机优化算法。
Particle swarm Optimization (PSO) algorithm is based on swarm intelligence theory.
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) is such a new artificial life computation method.
粒子群优化(PSO)算法是其中较新的一种人工生命计算方法。
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。
Particle Swarm Optimization(PSO)algorithm is one of embranchments of swarm intelligence.
粒子群优化算法是群体智能中一个新的分支。
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。
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。
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。
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。
A particle swarm optimization algorithm source code, this is a VB source languages, it is practical.
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 discrete Particle Swarm Optimization (PSO) algorithm was presented for Job Shop scheduling problem.
提出了用于解决作业车间调度问题的离散版粒子群算法。
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 has existed premature convergence for multimodal search problems.
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。
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。
A particle swarm optimization algorithm for low voltage apparatus blanking part layout optimization was presented.
提出了一种粒子群算法的低压电器冲裁件排样优化问题的求解方法。
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。
This paper proposes an asynchronous pattern from analyzing on the biologic character of particle swarm optimization.
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。
Particle Swarm optimization (PSO) is an evolutionary computation technique and an optimization tool based on iteration.
粒子群优化算法(PSO)是一种进化计算技术，是一种基于迭代的优化工具。
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。
Study cases showed the validity of the algorithm. The compare with basic particle swarm algorithm showed its superiority.
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。
Neural network based on particle swarm optimization algorithm applied in the soil moisture characteristic curve application.
说明：基于粒子群的神经网络优化算法的应用，在土壤水分特征曲线中的应用。
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。
Particle swarm optimizer (PSO) is a new evolutionary computation method, which has been successfully applied to many fields.
微粒群算法是一种新型的进化计算方法，已在许多领域得到了广泛的应用。
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。
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。
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