EVD

SAPHER FUNCTION FOR OPTIMAZATION

openslam for vehicle transportation (openslam for vehicle transportation )

基于Matlab的生理信号脑电的使用工具文件(Matlab-based physiological signal the use of tools for document EEG)

应用于机械最优化设计课程的无约束多维问题的牛顿法(Used in mechanical optimization design courses unconstrained multi-dimensional problem of Newton' s method)

matlab经典的100个实验程序。非常适合初学者学习。(matlab classic 100 experimental procedure. Very suitable for beginners to learn.)

处理由采集卡采到的加速度传感器测得的信号，并分析其在0-1000Hz的频谱幅值并绘制频谱图(Processed by the acquisition card taken to the measured acceleration sensor signal, and to analyze the spectrum of the 0-1000Hz and draw the amplitude spectrum)

基于matlab对混沌现象进行研究，同时通过建立sum模型分析混沌吸引子的影响(study base on matlab)

基于无速度传感器建立的PMSM的模型自参考模型，效果还不错(The model of PMSM based on speed sensor is not bad)

This paper is the result of a literature study carried out by the authors. It is a review of the dierent attempts made to solve the Travelling Salesman Problem with Genetic Algorithms. We present crossover and mutation operators, developed to tackle the Travelling Salesman Problem with Genetic Algorithms with dierent representations such as: binary representation, path representation, adjacency representation, ordinal representation and matrix representation. Likewise, we show the experimental results obtained with dierent standard examples using combination of crossover and mutation operators in relation with path representation. Keywords: Travelling Salesman Problem Genetic Algorithms Binary representation Path representation Adjacency representation Ordinal representation Matrix representation Hybridation. 1 1 Introduction In nature, there exist many processes which seek a stable state. These processes can be seen as natural optimization processes. Over the last...

statistical methods in order to extract image texture descriptors. In particular, we will focus on the Co-occurrence matrices and the Energy filters (Laws filters). They are well-known texture descriptors, fast and easy to implement and provide good results that could be used in a posterior step to perform image segmentation and object recognition.(statistical methods in order to extract image texture descriptors. In particular, we will focus on the Co-occurrence matrices and the Energyfilters (Laws filters). They are well-known texture descriptors, fast and easy to implement and provide good results that could be used in aposterior step to perform image segmentation and object recognition.)