-
GA
说明： 能够实现基本的遗传算法，并有相关的应用举例.(it could realise GA and some examples)
- 2011-05-17 19:22:35下载
- 积分：1
-
Matlab-senior-notes-
Matlab高级讲义之计算机辅助设计与仿真技术概述(Matlab senior notes- an overview of computer-aided design and simulation)
- 2011-12-24 21:04:32下载
- 积分：1
-
PV
说明： 建立包含直驱型风力发电机
、
单级式光伏发电系统和储能蓄电池的风能与光伏混合微电网模型
。
混合微电网在并网运行时
，
通过储能蓄电池平滑风能和光伏电源的输出功率波动
，
维持公共连接点
（PCC）
电压
；(Building a direct drive wind turbine
,
Single stage photovoltaic power generation system and energy storage battery wind energy and photovoltaic hybrid microgrid model
.
Hybrid microgrid in grid connected operation
,
Smoothing the output power fluctuation of wind power and photovoltaic power supply by storage battery
,
Maintain common connection point
(PCC)
Voltage)
- 2017-03-11 10:50:03下载
- 积分：1
-
hist_CN
modification programme piece sur CN SIEMENS
- 2010-11-09 22:38:36下载
- 积分：1
-
Computational-Colour-Science-MATLAB
Computational Colour Science Using MATLAB - Stephen Westland & Caterina Ripamonti(Computational Colour Science Using MATLAB- Stephen Westland & Caterina Ripamonti)
- 2013-09-13 20:13:53下载
- 积分：1
-
sperlich_roland_200508_phd
一个matlab编写的基于volterra行为模型的数字预失真仿真程序。(Volterra matlab writing a behavioral model based on the number of pre-distortion simulation program.)
- 2010-11-21 21:51:34下载
- 积分：1
-
Untitled15
This matlab code computing a special relation between DEA and MCDA.
- 2013-09-23 21:42:59下载
- 积分：1
-
Link2_Friction
matlab学习必备，maltab仿真大全，国外经典之作(matlab learning essential, maltab simulation Guinness, foreign classic)
- 2013-08-25 14:33:05下载
- 积分：1
-
AHPSolver
层析分析法模型，能实现评价权重的确定，并进行一致性检验(AHP-Analytic Hierarchy Process)
- 2014-02-09 18:17:30下载
- 积分：1
-
GAforPathPlaning
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
