Particle swarm optimization with dynamic change of inertia weights

动态调整惯性权重的粒子 群优化算法

A modified particle swarm optimization algorithm chaotic particle swarm optimization with direction search ( CHPSO-DS ) algorithm is provided to solve the complex problem .

提出一种用以解决这一复杂优化问题的混合算法&混沌直接搜索粒子 群（ CHPSO-DS）算法。

Optimization technique was an important factor to displacement back analysis it influenced the precision and efficiency . A new intelligent displacement back analysis which combined particle swarm optimization with support vector machine was proposed .

优化技术是影响反分析精度和效率的重要因素，将微粒 群优化技术 与支持向量机技术结合，提出了一种新的智能位移反分析方法。

And it mixs the core of group particle swarm algorithm with improved formula algorithm .

并将核心主子群粒子 群 优化算法 与公式改进的 粒子 群算法相融合。

Fish landing jetties now swarm with activity .

现在，水产登陆码头 充满了活力。

Particle Swarm Optimizer with Shuffled Subpopulations Mutation and Its Application

基于 子群混合 与变异的微粒 群 算法及其应用

We discussed how the swarm intelligence verifies the law of cognitive science and how to explore the ways of swarm intelligence with the related researches of cognitive science .

本文论述群智能计算中的信息认知机制，以及如何 利用认知科学的相关研究来探索 群智能计算方法。

Faster particle swarm optimization with random inertia weight

基于随机惯量权重的快速粒子 群优化算法

Analysis of the Stability of Networked Swarm Agents with Time Delays

带时滞的网络化 群体系统编队稳定性分析

We improved this algorithm by combining the cooperative quantum-behaved particle swarm strategy with the maximizing class distance variance method .

该方法将改进协同量子粒子 群算法 与传统的最大化类间方差方法相结合应用于医学图像多阈值分割。

These shores will still swarm with the dead of my people .

这一带海岸仍将到处 有我们祖先的 英灵出没。

A Species-based Particle Swarm Optimizer with Multi-parent Crossover Operator

一种基于子种群带多亲体杂交的微粒 群算法

This paper has analysed the characteristics of an earthquake swarm with 1800 microearthquakes which occurred in Haifeng area Guangdong from February to May 1981 . The swarm was composed of three subgroups consisting of a typical sequence of foreshocks-main shock-aftershocks each .

本文分析了1981年2～5月在广东海丰地区发生的为数达1800个小震的震 群特征。震群由三个子群组成，均出现典型的前、主、余序列。

Particle Swarm Optimization with some simple improvement is designed to solve these models .

设计了求解此问题的粒子 群优化算法， 并对算法做出简单改进。

Adaptive Particle Swarm Optimization with Mutation

一种 采用变异算子的自适应微粒 群算法

Method of Clustering Analyses Based on Particle Swarm Optimization with Variable Population Size

基于可变规模粒子 群的聚类分析方法

Binary particle swarm algorithm with wide application in solving discrete combinatorial optimization problems has increasingly evident advantages .

随着二进制粒子 群算法的广泛应用，其在解决离散组合优化问题方面的优越性日益显现。

We investigate the emergence of the adaptive velocity swarm with the comparisons of the classic constant model .

我们研究了该模型的 涌现 行为，比较了自适应速度模型 和经典的常速率模型的差别。

Particle swarm optimization with adaptive mutation based on entropy

基于熵的自适应变异的粒子 群优化算法

The effectiveness of the approach is shown that comparing particle swarm optimization with the genetic algorithm by numerical simulation .

通过数值仿真，并 和遗传算法进行了比较，结果表明该方法对 欠 驱动 航天器 姿态运动规划是有效的。

Design and Study of Particle Swarm Optimization with Simulated Annealing

模拟退火并行粒子 群优化算法程序设计与研究

Particle Swarm Optimization with Contracted Ranges of Both Search Space and Velocity

压缩搜索空间与速度范围粒子 群优化算法

Particle Swarm Optimization with Dynamic Dimension Crossover for High Dimensional Problems

基于动态维度交叉的粒子 群高维函数优化

He is hiving a swarm with care .

他正 小心地把 一群蜂移入蜂房。

Improved Particle Swarm Optimization with dynamically changing inertia weight

改进 收敛条件的动态调整惯性权重 PSO 算法

Target Search Using Swarm Robots with Kinematic Constraints Behavior-feature-based Dynamic Variant Step-size Odor Search Algorithm for Mobile Robot

具运动学特性约束的 群机器人目标搜索基于行为特征的机器人变步长气味源搜索算法

Then clustering analysis is processed by a clustering method based on swarm intelligence with different swarm similarity coefficients .

然后依据基于 群体智能的聚类方法，选用由小到大的群体相似系数进行聚类分析；

The formation stability of swarm agents with time delays in communication was analyzed based on graph theory and control theory .

针对 带通信 时滞的网络化 群体系统编队稳定性问题，采用图论和控制理论知识得出其稳定性条件。

Particle Swarm Optimization with Inverse Swarms Cooperation and Application in Function Optimization

逆群协作粒 群方法及在函数优化中的应用

Niche quantum-behaved particle swarm optimization with chaotic mutation operator

基于混沌变异算子的小生境量子粒子 群算法