scholarly journals Effective Robot Path Planning Method based on Fast Convergence Genetic Algorithm

2015 ◽  
Vol 20 (4) ◽  
pp. 25-32
Author(s):  
Min-Gwan Seo ◽  
Jae-Sung Lee ◽  
Dae-Won Kim
2013 ◽  
Vol 278-280 ◽  
pp. 590-593
Author(s):  
Huai Qiang Li ◽  
Ming Xia Shi

This paper presents a new method of robot path planning which is based on improved adaptive genetic algorithm. On the foundation of building the model in planning space by link-graph, we first gets the feasible paths by using Ford algorithms ,and then adjusts the points of every path by using improved adaptive genetic algorithms to get the best or better path. The simulation experiment shows the advancement of the method.


2021 ◽  
Author(s):  
Mengqing Fan ◽  
Jiawang He ◽  
Susheng Ding ◽  
Yuanhao Ding ◽  
Meng Li ◽  
...  

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