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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-F
- 粒子群算法的寻优算法-非线性函数极值寻优,将全局寻优与局部寻优结合起来-Particle swarm optimization algorithm- nonlinear function optimization extreme, the global optimization and local optimization combined
A-PSO-method-with-nonlinear-time-varying-evolutio
- Abstract A particle swarm optimization method with nonlinear time-varying evolution (PSO-NTVE) is employed in designing an optimal PID controller for asymptotic stabilization of a pendubot system. In the PSO-NTVE method, parameters are determ
PSO-HJ
- PSO算法和模式搜索法的混合算法求解非线性方程组-PSO algorithm and hybrid algorithm pattern search method for solving nonlinear equations
PSO-MC
- PSO算法和蒙塔卡洛算法的混合算法，求解非线性方程组。单目标优化问题-Hybrid algorithm of PSO and Monta Carlo algorithms for solving nonlinear equations. Single-objective optimization problem
pso-1
- pso粒子群优化算法，适用于计算目标函数，全局非线性反演的问题-pso Particle Swarm Optimization for calculating the objective function, the global nonlinear inversion problem
PSO-noncon
- 粒子群算法，可以计算含非线性不等式约束和等式约束的优化问题。-PSO algorithm can be calculated with nonlinear inequality constrained optimization problems and equality constraints.
pso
- 基于粒子群优化算法的投影寻踪技术程序，解决非线性指标评价问题。-The program is pp base on pso, in order to Solve the problem of nonlinear index uation.
pso
- 粒子群优化算法的寻优算法-非线性函数极值寻优-Optimization algorithm of particle swarm optimization algorithm for optimization of nonlinear function
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
- 粒子群优化算法的寻优算法—非线性函数的极值优化-The optimum algorithm of particle swarm optimization algorithm, the extremal optimization of nonlinear functions
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))