搜索资源列表
swarm-optimization-model
- 基于微粒群模型的无线传感器网络节点部署研究-Research on the deployment of wireless sensor network node based on particle swarm optimization model
PSO
- 微粒群优化算法的源代码,入门学习。推荐下载,超级经典。-the code of PSO
PSO
- 粒子群优化(Particle Swarm Optimization, 简称PSO)[1],又称为微粒群算法,是由美国的心理学家J. Kennedy和电气工程师R. Eberhart于1995年提出的一种算法。 -(Particle Swarm Optimization,PSO)
PAPER1
- 室内噪声环境下气味源的多机器人微粒群搜索方法-Multi-particle swarm robots odor source search method of indoor noise environment
Modified-lbest-PSO-on-GPU
- 这个是基于环形拓扑结构的约束微粒群算法,对原来的算法做了改进,只用到了一个邻居节点,效果与基本的微粒群算法大致相当。但是在对多模函数的计算上,优于基本的微粒群算法。这个算法的运行平台是GPUmat,需要的运行环境有:Matlab, GPU, GPUmat, Visual Studio.-This the modified particle swarm optimization algorithm that based on ring toplopy with constrain conditio
PsoANN
- 微粒群算法结合神经网络进行建筑能耗预测,有效的提高了预测精度,但是延长了运算时间-building energy consumption prediction using particle swarm optimization and artificial neural networks
vrp
- 微粒群遗传退火算法例程 车辆调度优化问题-Genetic annealing particle swarm optimization algorithm for vehicle scheduling routines
matlab
- 微粒群算法,基于MATLAB的微粒群算法,经典中的静定- MOPSO-Multi-obj
PSO_basic-code-for-tutorial
- 标准微粒群算法,利用matlab直观表示,添加测试函数-Standard particle swarm algorithm, the use of MATLAB intuitive representation, adding test function
NSPSO
- 非支配排序的多目标微粒群算法NSPSO,在标准微粒群算法中加入NSGA2的思想-Multi objective particle swarm optimization algorithm based on non dominated sorting NSPSO, in standard particle swarm optimization, the non dominated sorting of NSGA2.
pso
- pso微粒群算法的实现,使用c编写,更加高效-Achieve pso particle swarm algorithm, using c written more efficient
PSOCPP2
- pso微粒群算法的实现,使用c++编写,利用了面向对象的方式,具备很高的可读性-Achieve pso particle swarm algorithm, using c++ prepared using an object-oriented manner, with high readability
11
- 利用测试函数比较不同二阶微粒群算法的收敛速度-The convergence rate of different second- order particle swarm optimization algorithm is compared by using the test function
khdjca
- 保证全局收敛的随机微粒群算法,当最优粒子的解无进化,则对其位置-Guarantee the global convergence of the stochastic particle swarm algorithm, the optimal solution of particles when no evolution, with its position
Particle-Swarm-Optimization
- 微粒群算法的寻优算法:PSO算法参数设置、种群初始化、寻找初始极值、迭代寻优-Particle swarm optimization algorithm: PSO algorithm, parameter settings, population initialization, looking for the initial extremum, iterative optimization
33280148
- 基于MATLAB的微粒群工具箱,算法模型中引入收缩因子,不错的-Particle swarm based on MATLAB toolbox, shrinkage factor is introduced into the algorithm model, good
nrtsparticles
- 保证全局收敛的随机微粒群算法,当最优粒子的解无进化,则对其位置(Guarantee the global convergence of the stochastic particle swarm algorithm, the optimal solution of particles when no evolution, with its position)
enpaptulatiou-member
- 协同微粒群算法,用于原子簇的结构优化,协同微粒群算法模型(Cooperative particle swarm algorithm for atomic cluster structure optimization, model of the cooperative particle swarm algorithm)
微粒群
- 图像灰度处理,可以进行原始图片与带匹配图片的灰度转化,并进行匹配(Image gray processing)
新建 Microsoft Word 97 - 2003 文档
- PSO算法是基于群体的,根据对环境的适应度将群体中的个体移动到好的区域。然而它不对个体使用演化算子,而是将每个个体看作是D维搜索空间中的一个没有体积的微粒(点),在搜索空间中以一定的速度飞行,这个速度根据它本身的飞行经验和同伴的飞行经验来动态调整(PSO algorithm is based on the group, according to the environment to the fitness of the individual to move to the area.However