真正的spea2多目标进化算法matlab源程序

Welch法得到的功率谱估计。 设计滤波器对白噪声滤波后的功率谱。(Welch method of power spectrum estimation. Design filters with the noise power spectrum after filtering.)

是一片论文，文中通过检测竹块的颜色判断是否存在缺陷，判断其等级。可以再matlab平台上对其仿真。(Is a thesis, the text block by detecting the color of bamboo to determine whether there are flaws, to determine its level. Can then simulate it on matlab platform.)

解压缩文件，将三个文件放在同一路径下，打开MATLAB，运行example_09.m文件。即可利用鼠标进行绘画。(Unzip the files, three files on the same path, open the MATLAB, run the example_09.m file. You can use the mouse painting.)

有较好的参考价值，一个师兄的毕设，多元数据分析的主分量分析投影，计算两个矩阵之间的欧氏距离，应用小区域方差对比，程序简单，抑制载波型差分相位调制。

License Plate Recognition by neural network and colour + carplate segmentation, [software describtion attached](License Plate Recognition by neural network and colour+ carplate segmentation, [software describtion attached])

说明：  调度问题中的粒子群优化方法及其应用研究 调度问题中的粒子群优化方法及其应用研究(Scheduling Particle Swarm Optimization Method and Its Application Scheduling Particle Swarm Optimization Method and Its Application)

SIMULINK,电力电缆局部放电信号的仿真(the simulink of PD)

说明：  :针对遗传算法易陷入局部最优的不足,在标准遗传算法基础上加入了三个新的操作- 复原、重构和录优操作,使改 进后的遗传算法收敛于全局最优,并在此基础上以路边约束、动态避障和路径最短作为适应度函数,提出了动态避障的路径 规划方法。通过实验仿真验证了算法的有效性、准确性和实时性,并与基于以往的遗传算法的路径规划方法进行比较,结果 表明本文提出的方法在产生的路径长度和算法运行时间上都具有更优的性能。(: Genetic algorithm for the lack of easy to fall into local optimum, in the standard genetic algorithm based on the insertion of three new operations- rehabilitation, reconstruction, and excellent operational record, so that the improved genetic algorithm converges to the global optimum, and in this by the roadside on the basis of constraints, dynamic obstacle avoidance and the shortest path as the fitness function is proposed dynamic obstacle avoidance path planning method. Simulation results through experiments the effectiveness of the algorithm, accuracy and real-time, and with previous genetic algorithm based path planning method to compare the results show that the method proposed in the resulting path length and algorithms have a running time better performance.)

Advanced Numerical Methods Jacobi

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