-
yalmipR20140605
添加到matlab的toolbox中,用来解决整数线性规划的yalmip工具箱,2014年6月最新版(Add to the toolbox in matlab for solving integer linear programming yalmip toolbox, in June 2014 the latest version)
- 2014-10-14 22:03:08下载
- 积分:1
-
Untitledxingtaizuhe
运用形态组合完成所需目标的识别并保留部分小区域(Application form to complete the necessary combination of target recognition and retention of some small area)
- 2011-10-19 10:16:39下载
- 积分:1
-
SIMPSON1_3_matlabfa
Simpson integration method(1/3)
- 2013-12-05 03:21:56下载
- 积分:1
-
Gods-Algorithm
上帝算法是优化算法中一种比较特殊的算法,与哲学心理学有关联。(God s Algorithm)
- 2013-12-25 21:15:27下载
- 积分:1
-
Digital-Image-Processing-homework
图像采样,图像二值化,计算图像噪声水平,包含Matlab源代码(Sampling the image, binarizing the image, calculate the image noise level,include code)
- 2014-11-04 19:51:20下载
- 积分:1
-
ukf
本代码给出了一个不敏卡尔曼滤波实例和不敏卡尔曼滤波算法代码(This code gives an Unscented Kalman filter instance and not Unscented Kalman filter algorithm code)
- 2011-10-28 10:08:01下载
- 积分:1
-
cordic
Cordicc implementation using MATLAB to calculate sin cosine function also convert form polar to cartessia or cartessian to polar(this is a cordic implementation using matlab to compute sin cosine also transfer polar to cartessian vice versa)
- 2014-11-01 01:11:08下载
- 积分:1
-
GAforPathPlaning
说明: 采用栅格对机器人的工作空间进行划分,再利用优化算法对机器人路径优化,是采用智能算法求最优路径的一个经典问题。目前,采用蚁群算法在栅格地图上进行路径优化取得比较好的效果,而利用遗传算法在栅格地图上进行路径优化在算法显得更加难以实现。
利用遗传算法处理栅格地图的机器人路径规划的难点主要包括:1保证路径不间断,2保证路径不穿过障碍。
用遗传算法解决优化问题时的步骤是固定的,就是种群初始化,选择,交叉,变异,适应度计算这样,那么下面我就说一下遗传算法求栅格地图中机器人路径规划在每个步骤的问题、难点以及解决办法。(It is a classical problem to divide the workspace of the robot by grids and optimize the path of the robot by using optimization algorithm. At present, the ant colony algorithm is used to optimize the path on the grid map, and the genetic algorithm is used to optimize the path on the grid map, which is more difficult to achieve.
The difficulties of using genetic algorithm to deal with the path planning of robot on raster map mainly include: 1. guaranteeing that the path is uninterrupted, 2. guaranteeing that the path does not cross obstacles.
The steps of genetic algorithm in solving optimization problems are fixed, that is, population initialization, selection, crossover, mutation, fitness calculation. Then I will talk about the problems, difficulties and solutions of genetic algorithm in each step of robot path planning in raster map.)
- 2019-05-02 14:56:19下载
- 积分:1
-
TwoLinkPendulumAnimation
two link pendulum matlab simulation
- 2013-05-13 05:30:46下载
- 积分:1
-
MatlabImageProcessing
matlab图像处理命令的解释和实例 (matlab image processing command explanation and examples)
- 2007-11-16 07:09:41下载
- 积分:1