搜索资源列表
GA(C+)
- 遗传算法的机器人路径规划的源代码。用C++来实现的-GA robot path planning source. C to achieve the
robot_motion_planning
- This code proposes genetic algorithm (GA) to optimize the point-to-point trajectory planning for a 3-link robot arm. The objective function for the proposed GA is to minimizing traveling time and space, while not exceeding a maximum pre-define
GA
- 这个一个遗传算法的实例，可以解决机器人轨迹规划的问题-This example of a genetic algorithm, can solve the problem of robot path planning
robot_motion_planning
- 这个程序使用了遗传算法来优化点对点之间的轨迹度量。-This code proposes genetic algorithm (GA) to optimize the point-to-point trajectory planning for a 3-link (redundant) robot arm.
Tay-May-2-Bac_Truot-GA
- 2 Robot Arm Sliding Mode GA
Truot_GA
- RoBot Arm Sliding and GA
4[1]
- 提出了一种新的模糊遗传算法(GA)的方法来解决问题的轨迹规划两个合作共享一个公共的机器人避障工作场所,在机械手必须考虑对方作为一个移动的轨迹或者行为障碍是未知的和不可预知的,因为每一个都有各自的目标和机械手都有相同的优先权。 -This paper presents a novel fuzzy genetic algorithm (GA) approach to tackling the problem of trajectory planning of two collaborat
pathing-planning-GA
- 用遗传算法实现对机器人的路径规划，取各障碍物顶点连线的中点为路径点，相互连接各路径点，将机器人移动的起点和终点限制在各路径点上，利用最短路径算法来求网络图的最短路径，找到从起点P1到终点Pn的最短路径。-Robot path planning using genetic algorithms, taking the midpoint of each obstacle vertex path points interconnected path the robot to move the star
dastebandi
- Design a feedforward network is u dehaze algorithms review path planning using GA and ACO... The neural network adaboost stron TS neural network m files, fast c bp neural network, written with C Bayes net and memory based learni
estekhraj-vijegi
- Design a feedforward network is u dehaze algorithms review path planning using GA and ACO... The neural network adaboost stron TS neural network m files, fast c bp neural network, written with C Bayes net and memory based learni
GA_Path_Planning
- 使用遗传算法（genetic algorithm）进行路径规划，得出移动机器人的最优运动路径，，欢迎大家下载，并互相交流，共同学习，共同进步-path planning based genetic algorithm(GA) can get the optimal path of mobile robot
ssmr-gentic
- hi, thise file is a paper of mobile robot and control kinematic with GA.
path-planning--based-on-GA
- path planning of the robot based on GA,matlab
GA
- This code solves robot path planning using pso.
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