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1下载:
机器人遗传算法,可以算出6自由度机器手的逆解,比传统方法快-Robots genetic algorithm, can calculate the inverse of 6-DOF robot solutions faster than traditional methods
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基于改进的遗传算法的matlab机器人最优路径选择-Select the improved genetic algorithm based on the optimal path matlab robot
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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
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1下载:
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
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机器人路径规划遗传算法matlab仿真源代码-Robot path planning simulation matlab genetic algorithm source code
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Neural Nets Genetic Algorithm and robot tracking
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基于遗传算法的机器人路径规划程序源码,很实用。-The genetic algorithm path planning of robot based on the source program, it is very practical.
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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
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这是关于机器人路径规划的遗传算法代码.代码简单实用,非常适合初学者学习参考。-This is the code genetic algorithm of robot path planning.
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遗传算法路径规划仿真,运用遗传算法仿真机器人路径规划问题,属于静态规划-Genetic algorithm path planning simulation, genetic algorithm simulation robot path planning, are still planning
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基于十进制编码的遗传算法,求取机器人优化路径。-Based decimal coded genetic algorithm, obtaining optimized robot path.
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基于改进遗传算法的机器人路径规划,主要从P1到达Pn点,越过中间的障碍物-Robot Path Planning Based on Improved Genetic Algorithm
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动态未知环境下移动机器人路径规划遗传算法(Genetic algorithm for mobile robot path planning in dynamic unknown environment)
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基于遗传算法的机器人路径规划MATLAB源代码(Genetic algorithm based robot path planning MATLAB source code)
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利用MATLAB语言模拟退火算法和遗传算法这两个算法结合构成的遗传模拟退火算法对移动机器人进行路径规划(Using MATLAB simulated annealing algorithm and genetic algorithm two genetic algorithms combined with genetic simulated annealing algorithm for mobile robot path planning)
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基于海图的快速临近值插值进行地图构建,并根据水下机器人的动力学模型,利用遗传算法进行全局路径规划。(The map is constructed based on the fast approaching value interpolation of the sea chart, and the global path planning is carried out by the genetic algorithm according to the dynamic model of the un
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我们用三个方向的距离,把它们放进简单的神经网络输出至Jackal机器人。让它尝试不同的轨迹和方向,然后找到完美的路线,利用迭代学习与遗传 算法,从而达到完美的避障。该项目有着广泛的应用,如自动驾驶,如扫地机器人我们也可以看到Jackal变得越来越智能化连续学习,这是非常有趣的。(We use the distance from three directions and put them into the simple neural
network to output to the Jackal
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5下载:
1.求解机器人的正逆解
2.采用遗传算法对机器人进行路径规划(1. positive and inverse solutions for solving robot
2. genetic algorithm for robot path planning)
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基于遗传算法的机器人路径规划MATLAB源代码,通过避障并寻找最优路径。(The MATLAB source code of robot path planning based on genetic algorithm is adopted to avoid obstacles and find the optimal path.)
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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
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