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psoMATLAB
- 参数设置 w=0.9 权值 将影响PSO 的全局与局部搜优能力， 值较大，全局搜优能力强，局部搜优能力弱 反之，则局部搜优能力增强，而全局搜优能力减弱。 c1=0.1 加速度，影响收敛速度 c2=0.1 dim=6 6维，表示企业数量 swarmsize=100 粒子群规模，表示有100个解的空间 maxiter=200 最大循环次数，影响时间 minfit=0.001 最小适应值 vmax=0.01 vmin=-0.01 ub=[0.2,0.2,
To_be_posted_3
- matlab particle total weighted tardiness problem
SwarmOps2
- Particle Swarm Optimization (PSO) by Eberhart et al.
particle_filter_demo
- 有关粒子滤波的三个例子，帮助理解粒子滤波的含义-particle filter
pso_example
- this code is an example of particle swarm optimization
speedreducer
- Linear Antenna arrays provide alternative solution to dimensional structure of Antennas such as paraboloidal cylinders, paraboloids, offset focus paraboloids etc. This paper presents the survey of various evolutionary approaches for linear ar
mopso
- 基于扩展粒子群算法的群机器人多目标搜索，引入动态闭环任务分工，能够并行搜索，提高搜索效率。-Particle swarm optimization algorithm based on extended multi-target search robot group, introducing dynamic closed-loop division of tasks in parallel searches, improve search efficiency.
PSO-and-IPSO
- 粒子群算法及其优化算法，并可以实现相关功能-Particle swarm algorithm and its optimization algorithm, the relevant functions
PSO_MATLAB
- PSO粒子群优化算法，实现函数优化、并行计算等功能-Particle Swarm Optimization
mization
- Recently more research works are focused on multi-objective particle swarm optimization algorithm (MOPSO) due to its ability of global and local search for solving multi-objective optimization problems (MOOPs) however, most of existing MOPSOs can
PSO_about
- 粒子群算法matlab代码吐血推荐。粒子群算法，也称粒子群优化算法，是近年来发展起来的一种新的进化算法。它是从随机解出发，通过迭代寻找最优解，通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现容易、精度高、收敛快等优点引起了学术界的重视，并且在解决实际问题中展示了其优越性。粒子群算法是一种并行算法。-PSO algorithm matlab cod
Improved_SMCPHD
- 该算法基本思想是利用一组带有相应权值的随机样本即粒子去逼近PHD分布和基数分布，其意义在于不仅解决重积分计算没有闭式解的难题，而且在滤波过程中，PHD函数被一系列离散的带权值的样本近似，随着样本粒子数量的增加，PHDF接近于Bayes最优估计，而且不受模型线性和高斯假设的限制，可以适用于非线性非高斯的随机系统。-The algorithm the basic idea is to use a set of random sample with the corresponding weight n
EKFUKfPF
- 实现扩展卡尔曼滤波，无极卡尔曼滤波，粒子滤波-Realize the extended kalman filter, the infinite kalman filter and particle filter
pso
- In computer science, particle swarm optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. PSO optimizes a problem by having a population
pso
- 这是一个粒子群算法的源程序，希望对大家有帮助。-This is a particle swarm algorithm source code, we hope to help.
pf_kejian
- 粒子滤波算法，有详细推倒，并结合多个实例给出了相应MATLAB源代码。-Particle filter algorithm, a detailed down, and combined with multiple instances of the corresponding MATLAB source code.
PSO
- 基于自然数编码的粒子群算法MATLAB实现源代码。-Based on natural number coding Particle Swarm MATLAB source code to achieve.
texture_test_packedu8
- 姿势识别子VI，用于检测显微系统下微粒运动轨迹-Gesture recognition sub-VI, for particle trajectories under microscopic detection system
PSO
- 标准粒子群算法,运行有效，操作简单,带运行结果输出图-Particle Swam Optimization，PSO
Particle Swarm Optimization [Mathematica]
- PSO optimization method code in Mathematica