搜索资源列表
3dimension_ACO
- 基于蚁群算法的三维路径规划算法,保证可用-The three dimensional path planning algorithm based on ant colony algorithm
TSPACO
- 这是一个在VC++ MFC环境下编写的蚁群算法,以51个城市为例实现了旅行商问题的路径规划,每代求出的解以VC++可视化的界面动态显示出来。-This is a prepared environment in VC++ MFC ant colony algorithm to 51 cities traveling salesman problem as an example to achieve a path planning, each generation of the solution o
yiqunsuanfa
- 基于蚁群算法的三维路径规划,有具体程序说明,图例。-Three dimensional path planning based on ant colony algorithm
MATLAB
- 基于蚁群算法的机器人路径规划MATLAB源码 -Ant colony algorithm based robot path planning MATLAB source
Desktop
- 基于改进的蚁群算法实现机器人的避障以及路径规划-Robot s improved ant colony algorithm based obstacle avoidance and path planning
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
ACO-Path-planning-
- 基于蚁群算法的路径规划,包括二维路径和三维路径,非常实用,无BUG,注释详细-Path planning, ant colony algorithm, including 2D and 3D path planning path,
JIYUYIQUNSUANFADE-ERWEILUJINGGUIHUA
- 基于蚁群算法的有障碍环境下的二维路径规划。-Based on ant colony algorithm two-dimensional path planning under obstacle environment.
aco
- 蚁群算法解决路径规划问题,可以自己设置地图中的障碍,使得规划路径避开障碍。运用蚁群算法计算比较简单。-ACO is one of the Heuristic algorithm,and it has a long history.The program is coded by MATLAB.It can solve the question that mapping the best route.
ant-algorithm-twodemension
- matlab智能算法基于蚁群算法的二维路径规划(案例背景为在一个200*200的空间中找寻从起点S到终点D的最优路径)-ant colony algorithm find the beat path between two points in a two dimension place
vehicle-routing-aco-master
- 这是用蚁群算法实现的机器人路径规划方法,里面有很多代码-this ia an algorithm implemented by ant colony algorithm
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
ACA
- 用matlab编写的人工蚁群算法实现路径规划,能画出机器人在规划空间中的运行路径-Prepared using matlab artificial ant colony algorithm path planning, we can draw the robot travel path planning space
wurenjiguiji
- 基于蚁群算法的无人机航迹规划,航迹规划是无人机的关键智能技术,在地理环境信息已知的条件下,如何综合考虑威胁和油耗,给出一条最优的自动航行路径,是无人机航迹规划要解决的问题。-Unmanned aerial vehicle (uav) flight path planning based on ant colony algorithm, path planning is the key to the uav intelligence technology, under the condition
ant-colony-algorithm
- 针对车辆的越野路径规划问题,设计了以最少行驶时间为目标的多策略蚁群算法.首先,分析了地形坡度和地表属性对于车辆路径规划的综合影响,通过叠加坡度与粗糙度约束建立了禁忌表 其次,一方面引入了自适应调整策略以提高路径搜索的有效性,另一方面设计了双向搜索策略以增加蚂蚁之间的协作能力和成功路径的搜索机率 另外,还提出了子路径多段交叉策略以提高算法的全局搜索能力和收敛速度,在详细叙述改进算法的步骤之后,优化了算法的部分参数取值 最后,就基本算法和改进算法的性能指标、收敛代数和仿真结果进行了比较与分析.实验结
Improved-Ant-Colony-Optimization
- 将改进的蚁群算法与路径几何优化相结合,用于解决移动机器人的全局路径规划问题.算法结合机器人的越障性能对移动机器人的环境空间进行建模.通过设置初始信息素加快蚂蚁的搜索速度,同时设置自适应信息素挥发机制,解决特定地图中初始信息素的干扰问题 设置自适应路径长度,筛选规划路径的优劣 提出由路径优劣程度决定的信息素散播策略,并从几何原理出发,对规划路径进行优化处理,加快最优解的收敛速度.仿真结果验证了该算法的有效性和普遍应用性,在随机给定的环境地图中,该算法能够迅速规划出最优路径.-The improve
pso
- pso又称蚂蚁算法,是一种用来在图中寻找优化路径的机率型算法。本例是基于蚁群算法的三维路径规划算法,-The three dimensional path planning algorithm based on ant colony algorithm
ACO1
- 蚁群算法,对无人机路径进行有效规划,避免无人机相撞事故-Colony algorithm, effective UAV path planning to avoid drone crash
yiqun_matlab
- 基于蚁群算法的二维路径规划算法matlab源码-Based on a two-dimensional path planning algorithm ant colony algorithm matlab source
Ant_colony_algorithm_robot_path
- 蚁群算法在机器人路径规划中的应用,里面包含程序和论文,是一个课程作业。-Application of ant colony algorithm in robot path planning