Path Planning of Mobile Robots Based on Genetic Algorithm

被引：5

作者：

Zhang, Yansheng ^{[1
]}

Ou, BingHao ^{[1
]}

Xu, YuanHong ^{[1
]}

Dai, ChaoShu ^{[1
]}

机构：

[1] Zhuhai Coll Sci & Technol, Sch Elect Informat Engn, Zhuhai, Peoples R China

来源：

2023 8TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND BIG DATA ANALYTICS, ICCCBDA | 2023年

关键词：

path planning; genetic algorithm; mobile robots;

D O I：

10.1109/ICCCBDA56900.2023.10154855

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

On the path planning of planar mobile robot, the grid map model is transformed into a two-dimensional matrix, and a mobile operator with probability attribute is designed. A genetic coding method based on Number of matrix rows and columns is proposed, and the reciprocal of path distance is used as the normalized fitness. The path planning based on genetic algorithm is realized by using single point duplication on different paths to cross and multi point duplication to mutate. The optimal path can be obtained by designing the appropriate number of groups. The experimental results show that the method is feasible and effective.

引用

页码：501 / 505

页数：5

共 5 条

[1]

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[2]

Guo Yinjing, 2022, J FRONTIERS COMPUTER, V14, P1981

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Guruji, Akshay Kumar ;

Agarwal, Himansh ;

Parsediya, D. K. .

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[4]

Jie Zhao, 2022, J HEILONGJIANG U SCI, V32, P393

[5]

Kong Jili, 2021, Computer Engineering and Applications, V57, P231, DOI 10.3778/j.issn.1002-8331.2002-0016

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