So Tabu Search based Dynamic particle swarm algorithm was presented.
因此本文提出了基于禁忌搜索的动态粒子群算法。
Standard particle swarm algorithm is easy to fall into local optimum.
标准粒子群算法易陷入局部最优值。
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。
An improved particle swarm algorithm to solve multi-objective problems is proposed.
提出了一个改进的粒子群算法并将其用于解决多目标优化问题。
Uses the adaptive discrete particle swarm algorithm to learn the similar kernel matrix.
通过自适应的离散粒子群算法来对核相似矩阵进行学习。
In this paper, a particle swarm algorithm was presented to solve the Freighting problem.
本文采用改进粒子群算法求解货物装载问题。
A discrete particle swarm algorithm for the rectangular strip packing problem is presented.
提出了一种基于离散粒子群优化算法求解矩形件排样问题的方法。
It put forward an improved application of artificial fish swarm algorithm based on real coding.
引入实数编码对鱼群算法进行改进，使之适用于模型的求解运算。
A new method of public traffic line network optimization is presented by particle swarm algorithm.
针对公交线网优化问题，利用粒子群算法进行了研究。
Artificial fish swarm algorithm (AFSA) is a stochastic global optimization technique proposed lately.
人工鱼群算法(AFSA)是一种新型的群智能随机全局优化技术。
Optical Beam Shaping; Binary Optical Elements; Artificial Fish-swarm Algorithm; Optical Design; ZEMAX.
激光波前整形；二元光学元件；人工鱼群算法；光学设计；zemax。
The improved artificial fish-swarm algorithm has better convergence which showed in the experimental results.
实验结果证明，改进的人工鱼群算法具有较好的收敛性。
The model was solved by adopting the particle swarm algorithm, and the solution steps were presented in the paper.
该模型用粒子群算法求解，作者给出了解法步骤。
The result of this experiment shows that this particle swarm algorithm is available and efficient in solving multi-c…
实验证明采用这种改进的粒子群算法解决多约束背包问题切实可行， 搜索效率较高。
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。
A structural damage identification method based on the support vector machine and the particle swarm algorithm was proposed.
为了有效地进行结构的损伤识别，提出了一种基于支持向量机和粒子群算法的结构损伤识别方法。
Artificial fish-swarm algorithm have well capability of expansion, transformation and integration due to the fish-swarm model.
人工鱼群算法由于采用了鱼群模式，使得在扩展性、改造性和融合性等方面具备较好的能力。
The key in using particle swarm algorithm to optimize the scheduling problem is to find an effective and feasible encoding structure.
利用粒子群算法求解调度问题的关键是建立有效的粒子编码结构。
This paper will give a scheme of intelligent test paper based on the estimation of distribution of discrete particle swarm algorithm.
本文提出了一种基于分布估计的离散粒子群优化算法。
The chaotic artificial fish-swarm algorithm is presented combining the artificial fish-swarm algorithm with water resources optimization.
对人工鱼群算法进行了改进，结合灌区优化配水问题，建立了灌区优化配水的混沌人工鱼群算法模型。
After analyzing the low local search ability of Artificial Fish Swarm Algorithm (AFSA), an improved AFSA based on simplex method was proposed.
针对鱼群算法在局域搜索能力差的问题，提出一种基于单纯形法的改进型人工鱼群算法。
Therefore, when the particle swarm algorithm has been found, scholars from various countries give their attention, and form a research hotspot.
因此，粒子群算法一经提出，就受到各国学者的关注，并形成一个研究热点。
Particle swarm algorithm (PSO), which stems from the simulation of birds flock's looking for food, has been paid attention and researched wildly.
粒子群优化算法（PSO）是近年来被广为关注和研究的一种智能优化算法，源于对鸟群觅食行为的模拟。
A neighbourhood topology based particle swarm algorithm (NTPSO) is proposed for optimal reactive power dispatch and voltage control of power system.
提出了一种基于邻域拓扑粒子群优化算法(NTPSO)的大规模电力系统无功优化新算法。
Based on the optimization by artificial fish swarm, an artificial fish swarm algorithm (AFSA) suitable to transmission network planning is proposed.
以人工鱼群寻优思想为基础，提出了适用于输电网网架规划的人工鱼群算法。
Artificial fish swarm algorithm (AFSA) is a novel optimization algorithm. A new method based on this optimization is proposed to design the IIR digital filters.
将人工鱼群算法(AFSA)用于IIR数字滤波器设计，建立了相应的优化模型，给出了简化的人工鱼群算法及其实现步骤。
The improved particle swarm algorithm based on constriction factors can guarantee the constringency of the algorithm, while the restriction of velocity can be released.
基于收缩因子改进的粒子群算法可以保证算法的收敛性，同时使得速度的限制放松。
In solving the traveling salesman problems, artificial fish swarm algorithm takes a significant advantage in convergence speed and the high precision is also guaranteed.
通过人工鱼群算法解决旅行商问题，证明人工鱼群算法在收敛时间上是占很大优势，收敛精度也得到保证。
In solving the traveling salesman problems, artificial fish swarm algorithm takes a significant advantage in convergence speed and the high precision is also guaranteed.
通过人工鱼群算法解决旅行商问题，证明人工鱼群算法在收敛时间上是占很大优势，收敛精度也得到保证。
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