搜索资源列表
antCpp1
- 这是关于蚂蚁群算法对机器人跟踪方面的应用，很有前景的一种路径规划算法程序。-This is on the right ants swarm algorithm robot tracking application, promising a path planning algorithm procedures.
Robotswarm
- 用差分方法,进行机器人路径规划仿真的程序-Robot swarm simulation in discrete time. Builds on simulation of robot path planning problem for obstacle avoidance problem
PathPlanningforMobileRobotsBasedontheNeuralNetwork
- ：针对移动机器人传统路径规划算法效率不高，寻优能力差等问题，提出一种基 于神经网络和粒子群优化算法相结合的移动机器人路径规划方法．该方法利用神经网 络实现大量的并行和分布计算，发挥PSO简单、容易实现的优点，提高了路径规划的计 算效率和可靠性．仿真结果表明，这种新路径规划方法是可行且有效的．-The quality and eficiency of calculation is the two puzzling problems in the tradi— tional algo
Particle-Swarm-Robot
- 本资源是我精心收藏的好东西--粒子群算法的移动机器人路径规划。先拿出来分享-This resource is my collection of good things well- particle swarm optimization for mobile robot path planning. Acquire a share out of
AFSA
- 人工鱼群算法在调整和优化机器人路径中的应用-Artificial fish swarm algorithm to adjust and optimize the paths of the robot
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。 -
matlabpathplanning1
- 粒子群最优算法栅格法处理移动机器人最短路径-Grid Particle Swarm Optimization Algorithm for Mobile Robot shortest path Treatment
Robot--obstacle-avoidance-problem
- Swarm仿真机器人在离散的时间。建立在机器人路径规划问题的仿真避障问题。-Robot swarm simulation in discrete time. Builds on simulation of robot path planning problem for obstacle avoidance problem.
mayimatlab
- 用蚂群算法实现机器人最短路径的规划，实现语言为matlab-Ant swarm robot with the shortest path planning, implementation language for the matlab
10.1.1.145.7141
- a pdf on swarm robot
RobNavigation
- 首先用链接图建立机器人运动空间模型，在此基础上利用蚂蚁算法进行全局搜索得到全局导航路径，然后用粒子群算法局部调节全局导航路径上的路径点，得到更优路径。-First, the link graph to establish the space model of the robot, using ant algorithm based on global search to get the global navigation path and local regulation on the glob
duomubiaoliziqundaima
- 基于C语言的多目标粒子群优化算法，主要用于各种优化工作，例如机器人的运动轨迹的优化等等. -C-based multi-objective particle swarm optimization algorithm, mainly used for a variety of optimization, for example, the robot trajectory optimization.
path-planning-MOPSO
- 采用粒子群算法，解决不确定性环境中，机器人路径规划问题-Robot path planning in uncertain environment using multi-objective particle swarm optimization
Optimal-Robot-Path-Planning-using-PSO-in-MATLAB.z
- Implementation of Optimal Path Planning of mobile robot using Particle Swarm Optimization (PSO) in MATLAB
dual-robot-path-planning
- 双机器人协调路径规划，局部路径使用蚁群算法，全局路径使用粒子群算法-Double coordinate path planning and local path using ant colony algorithm, the global path using the particle swarm optimization
newProg
- D:\Papers_research\swarm robot\Copy_of_multi5 D:\Papers_research\swarm robot\Copy_of_multi5 D:\Papers_research\swarm robot\Copy_of_multi5 D:\Papers_research\swarm robot\Copy_of_multi5 D:\Papers_research\swarm robot\Copy_of_multi5 -D:\Papers_research\
multi6
- D:\Papers_research\swarm robot\Copy_of_multi5 D:\Papers_research\swarm robot\Copy_of_multi5 D:\Papers_research\swarm robot\Copy_of_multi5 D:\Papers_research\swarm robot\Copy_of_multi5 D:\Papers_research\swarm robot\Copy_of_multi5 -D:\Papers_research\
pso path planning
- solve robot path planning using particle swarm optimization
robotswarm.m
- robot swarm controller m files
ecoli swarm opt m
- ob stacle function.m m.files