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Based-on-the-pso-of-PSO
- 本文描述的是用粒子群优化算法下的支持向量机的研究,详细概述了其优化参数-This article describes the algorithm under the support vector machine optimized by particle swarm optimization parameters detailed overview of its
PSO-optimization-of-SVM
- 这篇文章主要描述了基于粒子群算法下的支持向量积的研究-This article describes a study based on support vector particle swarm under integrable
GAPSOFCM
- 遗传算法和粒子群算法,应用于优化据数据集的聚类中心,结合FCM算法应用聚类分析的几篇文献。-Genetic algorithm and particle swarm optimization (pso) algorithm, are applied to optimization the clustering center of the data set
brownian_motion
- 基于matlab扩充软件comsol对粒子的布朗运动进行模拟,可以有效的描述粒子运动轨迹-Based on matlab software comsol expansion of Brownian motion of particles were simulated, can effectively describe the particle trajectories
Particle-Swarm-Optimization
- 本文提出变量随机分解策略,增加关联变量分配到同组的概率,使得算法更好的保留变量间的关联性,并将合作协同进化框架融合到算法中,提出了基于大规模变量分解的多目标粒子群优化算法-In this paper, a stochastic variable decomposition strategy is proposed to increase the probability of assigning related variables to the same group, which makes th
MOPSO-MATLAB
- 多目标粒子群算法是模拟动物群体的社会行为,找到一个最优设计点的过程比作这些生物的觅食活动。换句话说,这些例子在设计空间中寻找最好的位置。-Multi-objective Particle Swarm social behavior is simulated animal groups, a process to find the optimal design point likened foraging activity of these organisms. In other words, t
PSO-MATLAB
- 一个例子的最佳位置和沿着当前速度和惯性方向的邻元素被用来决定下一个例子的位子。多目标粒子群的优化算法简介如下-An example of the best location and along the current speed and direction of inertia neighbors are used to determine the next example of the seat. Introduction to multi-objective optimization alg
PSOandANT
- ,最早提出粒子群算法和蚂蚁算法的文章,粒子群算法和蚂蚁算法原版论文。-, First proposed particle swarm and ant algorithm article, PSO ant original papers.
sph
- 2d溃坝模拟,不同的粘性项,又空气粒子,无空气粒子等对比-2d dam
FEGAPSO
- 一种结合遗传算法和粒子群优化算法的高光谱图像分类方法。-Feature Selection Based on Hybridization of Genetic Algorithm and Particle Swarm Optimization
lizilvbo
- 很好的粒子滤波算法,方法有了很大的改进,而且有部分代码和系统实现-Good particle filter algorithm, a method has been greatly improved, but also part of the code and system implementation
MOPSO-based-on-adaptive-mutaiton
- 基于自适应变异的对多目标粒子群算法的改进算法-Based on the multi-objective particle swarm algorithm for improved algorithm of adaptive mutation
pso
- 粒子群算法,非常强大的智能寻优算法。可以计算不同适应函数。-Particle Swarm Optimization, a very powerful intelligent optimization algorithm. Different fitness functions can be calculated.
mapso
- 粒子群算法,基于智能体粒子群算法与粒子群算法在解决电力分配上问题的对比图像-Particle swarm optimization algorithm
PSO
- 粒子群PID参数自整定算法,简单易行,能够使用。-Particle swarm PID parameter auto-tuning algorithm, simple and can be used.
123
- 粒子群算法求极值蚁群算法求极值和遗传算法求极值-Particle Swarm extremum extremum ant colony algorithm and genetic algorithms Extreme
Multi-objective
- 多目标粒子群算法是将多目标算法和粒子群算法结合起来的一种优化算法-Multi-objective Particle Swarm Optimization is an optimization algorithm combining multi-objective algorithm and particle swarm optimization
particle-learning
- 关于粒子滤波算法在目标跟踪时的学习文章,涵盖原理及算法实现-Particle filter algorithm in the target tracking learning articles, covering the principle and algorithm
1-s2.0-S0925231212007722-main
- 不确定环境下的机器人路径规划的多目标粒子群优化算法-Robot path planning in uncertain environment using multi-objective particle swarm optimization
Parameter-optimization
- 针对滚动轴承早期故障特征提取困难的问题,提出一种基于参数优化变分模态分解的轴承早期故障诊断方法。首先利用粒子群优化算法对变分模态分解算法的最佳影响参数组合进行搜索,搜索结束后根据所得结果设定变分模态分解算法的惩罚参数和分量个数,并利用参数优化变分模态分解算法对故障信号进行处理。-Aiming at the difficult problem of early fault feature extraction of rolling bearing, an early fault diagnosis