搜索资源列表
20090501SleepingKoala
- 所上传文件包包括6种vc++源代码:使用opencv的实现可视图的静态路径规划;简单的svm算法;基于vc2008的图像匹配(多工程结构);基于局部搜索的K-means聚类算法;三维匹配中的ICP算法;视觉tracking中的condensation算法-Upload file package, including the six kinds of vc++ source code: using opencv to view the realization of the static path
PSO-image-segmentation-algorithm
- 为了提高算法的执行效率, 应用粒子群算法求取图像中任意两点间最短路径来定位目标边界, 并与经典的基于Dijkstra 动态规划图搜索的Liv e Wire 算法进行比较.-In order to improve the efficiency of the algorithm, particle swarm algorithm to strike any of images to locate the shortest path between two object boundaries, and
Particle-swarm-optimization
- 微粒群优化算法(Particle Swarm Optimization,PSO算法)源于鸟群和鱼群群体运 动行为的研究,是一种新的群体智能优化算法,是演化计算领域中的一个新的分支。它 的主要特点是原理简单、参数少、收敛速度较快,所需领域知识少。该算法的出现引起 了学者们极大的关注,已在函数优化、神经网络训练、组合优化、机器人路径规划等领 域获得了广泛应用,并取得了较好的效果。尽管粒子群优化算法发展近十年,但无论是 理论分析还是实践应用都尚未成熟,有大量的问题值得研究。 -
AStar
- 图像处理算法,AStar算法,用于路径规划寻找最优路径。-Image processing algorithms, AStar algorithm for path planning to find the optimal path.
Tsp_report
- 图像处理另一种算法,用于路径规划寻找最优路径,蚂蚁算法-Another image-processing algorithm for path planning to find the optimal path, the ant algorithm
AStar2
- 图像处理改进后的AStar算法,用于路径规划寻找最优路径。-AStar improved image processing algorithms for path planning to find the optimal path.
GA-TSP
- 经典的基于GA遗传算法的路径规划问题的实现,能动态的实现所需功能,值得学习研究-The path planning problem of GA based on genetic algorithm classic, can realize the dynamic functions are required, it is worth learning research
pso
- 经典的粒子群优化算法,可用于路径规划中的寻优-pso suanfa
lianxukongjianyichuansuanfa
- 使用遗传算法在自由空间下对机器人进行全局路径规划 matlab软件-The use of genetic algorithms in the free space of the robot global path planning matlab software
bafangxiang
- 使用栅格法通过蚁群算法规划机器人全局路径-By using the grid method of ant colony algorithm robot global path planning
ga1
- 使用matlab软件编程遗传算法在不规则自由空间中的路径规划-Matlab software programming using genetic algorithms in irregular free space path planning
astardemo
- 在matlab软件中,用A星算法进行栅格法路径规划,且路径不固定-In matlab software, using the grid method A star path planning algorithm, and the path is not fixed
gui
- 基于仿真平台开发下的蚁群算法,可以进行路径规划,寻找最优解-Based on the ant colony algorithm, under the simulation platform development path planning can be done, to find the optimal solution
shjre
- 用于路径规划遗传算法MATLAB源代码,内含多个子文件,测试时运行mypath文件即可()