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ex1_3
- Particle swarm optimization has been used to solve many optimization problems since it was proposed by Kennedy and Eberhart in 1995 [4]. After that, they published one book [9] and several papers on this topic [5][7][13][15], one of which did a s
ex1_4
- Particle swarm optimization has been used to solve many optimization problems since it was proposed by Kennedy and Eberhart in 1995 [4]. After that, they published one book [9] and several papers on this topic [5][7][13][15], one of which did a s
ex3_1
- Particle swarm optimization has been used to solve many optimization problems since it was proposed by Kennedy and Eberhart in 1995 [4]. After that, they published one book [9] and several papers on this topic [5][7][13][15], one of which did a s
pso_3
- matlab 实现的微粒群算法PSO，比较基本，适合初学者学习参考，自适应权重（非线性）-matlab implementation of PSO PSO, more basic, suitable for beginners to learn reference adaptive weight (nonlinear)
psoGriewank2
- 基于分段非线性权重值的Pso算法，matlab程序，测试函数是griewank-sectionalized nonlinear weights based Pso algorithm, matlab program, the test function is griewank
NPSO
- 标准PSO对多维非线性的Rosenbrock函数进行优化的结果-Standard PSO Rosenbrock function of the multi-dimensional nonlinear optimization results
ackley
- 三种PSO算法对20维非线性ackley函数进行优化求解的仿真函数-The three PSO algorithm simulation function 20-dimensional nonlinear Ackley function optimization solutions
sphere
- 三种PSO算法对20维非线性ackley函数进行优化求解的仿真函数-The three PSO algorithm simulation function 20-dimensional nonlinear Ackley function optimization solutions
psolicheng
- 微粒群算法的计算程序，用来计算非线性优化问题。-a matlab PSO program for computing nonlinear optimization problem
PSOTool
- 求解非线性方程组方法有经典算法以及近年来流行的遗传算法．牛顿法及其改进形式,但是此类算法的收敛性在很大程度上依赖于初始点的选择，对于某些非线性方程组容易导致求解失败 为了克服经典算法的缺点，设计了求解非线性方程组的混合遗传算法,但依然对方程组和编码方法有很高要求。PSO是受到鸟群或者鱼群社会行为的启发而形成的一种基于种群的随机优化技术。它是一类随机全局优化技术，通过粒子间的相互作用发现复杂搜索空间中的最优区域。该算法是一种基于群体智能的新型演化计算技术，具有简单易实现、设置参数少、全局优化能力强
fpa_demo
- Flower pollination is an intriguing process in the natural world. Its evolutionary characteristics can be used to design new optimization algorithms. In this paper, we propose a new algorithm, namely, flower pollination algorithm, inspired by the
Pudn
- satellite Rendezvous using nonlinear equations and three accompanying function file. Two pdf files on formation and PSO.
pso
- 粒子群算法求解非线性函数，包含算法程序、函数等，生成最优适应度解。-Particle swarm algorithm for solving nonlinear functions, including arithmetic procedures, functions, etc., generate optimal fitness solution.
pso
- 粒子群算法的寻优算法-非线性函数极值寻优- Optimization algorithm of particle swarm optimization algorithm for nonlinear function optimization
langbeng
- 基于K均值的PSO聚类算法,关于非线性离散系统辨识，有井曲线作为输入可计算其地震波的衰减。- K-means clustering algorithm based on the PSO, Nonlinear discrete system identification, There is a well attenuation curve as input to calculate its seismic waves.
Annealed-PSO-program
- 模拟退火算法，一种优化算法，功能十分强大，功能有：优化，预测，拟合，非线性分析-Simulated annealing algorithm, an optimization algorithm, the function is very powerful, the function is: optimization, prediction, fitting, nonlinear analysis
PSO-SVM
- 利于PSO优化的SVM，可用于解决软测量建模过程中的非线性问题(SVM, which is beneficial to PSO optimization, can be used to solve the nonlinear problems in soft sensor modeling)
psopt
- 一种粒子群算法，可以优化具有线性约束、非线性约束、等式约束、有界约束的问题，使用方法与MATLAB自带的GA算法类似（搬运）(A particle swarm optimization algorithm can optimize the problems with linear constraints, nonlinear constraints, equality constraints and bounded constraints. The method is similar to th
PSOTrainBP
- BP神经网络容易陷于局部极小值，PSO算法在无约束非线性函数优化方面性能优越，通常可以直接找寻到全局最优解，即使不能搜多到全局最优解，也距离全局最优点不远。当然，基本PSO算法陷入局部极值也是有的。对于这个缺点目前还没有找到比较有效、省市的解决方案。本案例实现利用PSO算法和BP算法共同训练神经网络，先将网络进行PSO算法训练，然后BP算法接着进行小范围精细搜索，PSO算法训练神经网络的本质就是将输出误差函数（即能量函数）看成目标函数，PSO对能量函数进行全局寻找最小值。(BP neural n
新建 360压缩 ZIP 文件
- 基于粒子群算法求解低速车辆模型的非线性模型预测控制问题(The nonlinear model predictive control problem of low-speed vehicle is solved based on particle swarm optimization (pso))