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.
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.
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.
针对工程中的优化问题，将粒子群算法与死亡罚函数法相结合，提出一种求解有约束问题的优化算法。
Aiming at the optimization problem in engineering, this paper proposes a new algorithm for con-strained optimization problem by combining PSO with death penalty.
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.
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.
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.
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。
A method based on improved binary particle swarm optimization (PSO) is proposed for distribution network reconfiguration with the objective of load balancing.
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 classical Particle swarm optimization (PSO) algorithm is a powerful method to find the minimum of a numerical function, on a continuous definition domain.
计算机仿真结果表明该算法的收敛性能优于粒子群优化算法，并且在非线性盲信号分离中是有效的。
The computer simulation results showed that the proposed algorithm was superior to original particle swarm optimization algorithms and was effective in separating nonlinear blind sources.
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.
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.
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。
In this paper, we propose an accurate and robust algorithm for solving the point matching problem using particle swarm optimization.
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。
An adaptive particle swarm optimization (APSO) algorithm to solve the AGC unit dispatch problem in power system is proposed.
标准的粒子群优化算法作为一种随机全局搜索算法，因其在种群中传播速度过快，易陷入局部最优解。
The standard particle swarm optimization algorithm as a random global search algorithm, because of its rapid propagation in populations, easily into the local optimal solution.
针对粒子群优化算法(PSO)应用于多极值点函数易陷入局部极小值，提出旋转曲面变换(RST)方法。
Aimed at particle swarm optimization (PSO) algorithm being easily trapped into local minima value in multimodal function, a rotating surface transformation (RST) method was proposed.
提出了一种求解双矩阵对策多重纳什均衡解的粒子群优化算法。
Particle Swarm Optimization (PSO) algorithm for solving multiple Nash equilibrium solutions of bimatrix game is presented in this paper.
基于粒子群优化算法(PSO)，提出一种求解含动态电压安全约束的预防控制新方法。
A particle swarm optimization (PSO) technique based novel approach for solving the dynamic voltage security constrained preventive control problem is proposed.
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.
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.
借鉴蚁群优化算法和粒子群优化算法的思想，提出了一种用于求解约束优化问题的连续域蚁群算法。
Using the idea of both ant colony optimization algorithm and particle swam optimization algorithm, a continuous domains ant colony algorithm for solving constrained optimization problem was proposed.
本论文提出的多目标粒子群算法优化锅炉可调运行参数在锅炉燃烧优化领域还不多见。
It is an unusual case to use MOPSO to optimize operation parameters of boiler in the field of boiler combustion optimization.
为了满足需求的动态实时的足球机器人在比赛中，提出了一种新的算法，提出了基于路径规划的深入研究了粒子群优化算法。
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.
针对短期负荷预测的特点，提出一种基于多目标粒子群优化算法的短期电力负荷预测法。
Aimed at the characteristics of short-term electrical load forecasting, an algorithm based on multi-objective particle swarm optimization is proposed in the paper.
针对短期负荷预测的特点，提出一种基于多目标粒子群优化算法的短期电力负荷预测法。
Aimed at the characteristics of short-term electrical load forecasting, an algorithm based on multi-objective particle swarm optimization is proposed in the paper.
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