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
gaijindeliziqunyouhuasuanfa
- 改进的粒子群优化算法在机器人足球中的应用 希望能对研究机器人足球的相关朋友有所帮助-Improved Particle Swarm Optimization Application in Robot Soccer Robot Soccer would like to study the relevant help a friend
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。 -
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
Improved-Artificial-Fish-Swarm-Algorithm
- Robot Global Path Planning Based on Improved Artificial Fish-Swarm Algorithm
Improving-the-Fish-Swarm-Algorithm-for-Robot-Path
- The Research of Improving the Fish Swarm Algorithm for Robot Path Planning
Swarm-robot
- 群机器人在动态未知环境下，多目标搜索；通过自组织任务分工实现搜索并行进行，且能够有效的避开动态及凸障碍物。-Group of robots in dynamic unknown environments, multi-objective search Through the self-organization tasks to achieve parallel search, and can effectively avoid dynamic and convex obstacles.
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