Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 6
1745-1749

Robot motion planning based on adaptive selection operator combined with genetic algorithm

Yi Xin1
Guo Wushi1
Zhao Li2
1. Sichuan Equipment Manufacturing Industry Robot Application Technology Engineering Laboratory, Deyang Sichuan 618000, China
2. School of Software Engineering, Shanxi University, Taiyuan 030013, China
DOI: 10.19734/j.issn.1001-3695.2018.11.0874

Abstract

In order to avoid local-trap and premature convergence of robot motion planning in 2D complex environments, this paper proposed an improved metaheuristics—adaptive genetic algorithm(AGA). Firstly, it adopted the random Dijkstra algorithm to create initial population. Secondly, in each generation of the GA, it improved the created paths, and replaced the conventional selection operator in GA with an adaptive one. Finally, by using feedback information of the search process, the adaptive selection operator could control the selective pressure appropriately throughout the algorithm. To validate the effectiveness of the proposed method, it compared the algorithm with two other methods in MATLAB. The results show that the proposed method can avoid the local convergence problem in motion planning, and can generate feasible path in complex environments.

Foundation Support

四川省科技厅科技计划重点研发项目(2018GZ0299)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.11.0874
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 6
Section: Algorithm Research & Explore
Pages: 1745-1749
Serial Number: 1001-3695(2020)06-028-1745-05

Publish History

[2020-06-05] Printed Article

Cite This Article

易欣, 郭武士, 赵丽. 利用自适应选择算子结合遗传算法的机器人路径规划方法 [J]. 计算机应用研究, 2020, 37 (6): 1745-1749. (Yi Xin, Guo Wushi, Zhao Li. Robot motion planning based on adaptive selection operator combined with genetic algorithm [J]. Application Research of Computers, 2020, 37 (6): 1745-1749. )

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  • Application Research of Computers Monthly Journal
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    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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