Description: 粒子群(PSO)路径规划。这个是一个局部路径规划，用了深度优先搜索算法，可以走出“陷阱”。-Particle Swarm (PSO) path planning. This is a local path planning, with a depth-first search algorithm, we can get out a Platform: |
Size: 9216 |
Author:陈建胜 |
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Description: ：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 algorithm for the robot path planning．In this paper，a new method of obstacle avoidance
and path planning based on neural network and particle swarm optimization is proposed．In
this method，a neural network is used to realize substantive parallel and distributed compu—
ting．And also this exerts the merit of PSO，which improves the computational eficiency and
reliability．As it is proved by analysis and test，that a better result is obtained by the pro—
posed algorithm． Platform: |
Size: 162816 |
Author:王风 |
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Description: PSO robot path planning, take consideration of the capabilities of the robot, grid based, 2D, intelligent, real-time fast Platform: |
Size: 124928 |
Author:zeng |
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Description: This file demonstrates how to use PSO algorithm to find an optimized collision-free path , in robot s path planning problem. Platform: |
Size: 3072 |
Author:Amir |
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Description: 针对自治水下机器人(AUV)的路径规划问题进行了研究,依据模糊控制规则,提出了一种基于粒子群优化(PSO)的模糊路径规划算法.首先建立水下水平面内路径规划的模糊规则,并应用A/B模型进行静态和动态障碍物的避障.同时考虑到模糊边界的选择具有很大的随意性,所生成的路径并非最优,利用PSO算法进行模糊集合的优化,使得最终生成的路径最优.应用设计的粒子群优化模糊(PSO-fuzzy)算法针对动静态障碍物进行了避障路径规划,仿真结果验证了所设计的方法的有效性.-The study was conducted with the aim of
solving the path planning problem of autonomous underwater vehicles (AUV), and a fuzzy path planning algorithm based on particle swarm optimization (PSO) was presented according to fuzzy logic
control
theories．First，a fuzzy
rule for the path planning was set up
in the underwater horizontal plane．
Then，an accelerate／brake(A／B)model
was applied to dealing with static and dynamic avoidance．Considering that the fuzzy boundary choice is of great arbitrariness，and the formation of the path is not optimal，the PSO algorithm was applied to optimization of the fuzzy boundary for making the final generated path most optimal．the designed PSO—fuzzy algorithm Was intended to do statics and dynamic obstacle avoidance path planning．the simulation results verified the effectiveness of the proposed design method． Platform: |
Size: 2371584 |
Author: |
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Description: Implementation of Optimal Path Planning of mobile robot using Particle Swarm Optimization (PSO) in MATLAB Platform: |
Size: 8192 |
Author:Mustafa |
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Description: In this work, an algorithm for classical particle swarm optimization (PSO) has been discussed. Also, its
codes in MATLAB environment have been included. The effectiveness of the algorithm has been analyzed
with the help of an example of three variable optimization problem. Also, the convergence characteristic
of the algorithm has been discussed. Platform: |
Size: 3072 |
Author:vahid62
|
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Description: 粒子群算法路径规划，可以直接运行，可以在此基础上继续改进嗯嗯嗯嗯(Particle swarm algorithm for path planning, can be directly run, can be the basis to continue to improve, huh) Platform: |
Size: 7168 |
Author:yan雨 |
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Description: 自平衡PSO，自己编写的程序，之前毕设的成果，通过PSO实现路径规划，并应用到实例当中(Self balancing PSO, the program written by oneself, the result of the completion before, realizes the path planning through PSO, and applies it to the example.) Platform: |
Size: 23552 |
Author:东京的樱花飘过巴黎 |
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Search - path planning PSO