wuchayufanshu

说明：  该程序主要包括GM的模拟、预测、群模拟和群预测模型(The program mainly includes GM simulation, forecasting, simulation and group group prediction model)

Matlab basic course and implicit plot design

说明：  粒子群算法求解TSP问题Matlab源代码(Particle swarm optimization algorithm for TSP problem Matlab source code)

用于计算输电网的潮流，充分考虑到线路中变压器的各种输入形式，将其归算到一种标幺值下。(Used to calculate the trend of the transmission grid, taking fully into account the the line transformer various input form, be imputed to a per-unit value.)

魔方还原程序,主函数为Cube,采用CFOP，还原步骤为88步左右，底面十字未优化；采用留个3*3矩阵，前面为froo（数字3），后面为baa（数字-3），左面为leff（数字-2），右面为rigg（数字2），上面为upp（数字0），下面为doo（数字1），(Cube restore process, the main function of Cube, using CFOP, the reduction step is 88 steps or so, the bottom cross unoptimized adopt leave a 3* 3 matrix, in front of froo (figure 3), followed by the baa (figure-3), left the leff (digital-2), the right of rigg (figure 2), at the upp (number 0), following the doo (figure 1),)

Article of Algorithm to Power Flow: Load Flow Solution of Radial Distribution.

simulation of ultrasonic cavitation. to use with RP function file in order to plot bubble radius time development.

this file denoise the pcg signal by wavelet and find the best wavelet who denoise the pcg signal

Fractal dimension using the box-counting method for 1D, 2D and 3D sets

说明：  多目标货物配装问题是一个复杂的组合优化问题，属于NP难问题，本文用混合粒子群算法求解多目标货物配装问题。混合粒子群算法在基本粒子群算法的基础上，通过引进遗传算法中的交叉和变异的策略，避免了陷入局部最优，加快了达到全局最优的收敛速度。此外，本文提出用权重系数来平衡各目标使各目标都能达到相对较优的效果。(Multi-objective loading of goods is a complicated combinatorial optimization problems are NP hard problems, this paper, hybrid particle swarm algorithm to solve multi-objective problem loading cargo. Hybrid Particle Swarm Algorithm in elementary particle swarm optimization based on genetic algorithm through the introduction of crossover and mutation of the strategy to avoid a fall into local optimum, global optimum to achieve accelerated convergence. In addition, this paper, the weight factor used to balance the various objectives so that the objectives can be achieved relatively better results.)