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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 42, 2025 No. 1
185-195

Enhanced rime optimization algorithm for robot path planning in complex environments

Xie Cankun1a
Yu Liya1b
Zhang Tao2
Ren Wenjie3
Mo Daigui3
1. a. State Key Laboratory of Public Big Data, b. School of Mechanical Engineering, Guizhou University, Guiyang 550025, China
2. China Telecom Co. , Ltd. Guizhou Branch, Guiyang 550025, China
3. Guiyang Aluminum Magnesium Design & Research Institute Co. , Ltd. , Gui-yang 550025, China
DOI: 10.19734/j.issn.1001-3695.2024.07.0202

Abstract

Addressing the problems of the RIME in the mobile robot path planning problem, such as easy to fall into the local optimum and slow convergence speed, this paper proposed an enhanced rime optimization algorithm(ERIME) for the path planning of mobile robots in the complex environment. Firstly, this algorithm designed a lens imaging population selection strategy based on sine chaos mapping to improve the population initialization stage to increase the population diversity, so that the algorithm could be better explored and exploited. Secondly, this algorithm designed a stochastic factor-controlled optimal search strategy and a centroid-guided development mechanism to improve the exploration and exploitation stages of the algorithm, so as to enhance the algorithm's ability to escape from the local optimal solutions, better explore the global optimal solution, and accelerate the convergence speed of the algorithm. Additionally, this paper proposed a Markov chain model of the ERIME algorithm and proved the global convergence of the algorithm. To verify the effectiveness of ERIME, this paper validated the algorithm using the CEC2017 test set and compared it with other well-known meta-heuristic algorithms. The results show that the algorithm performs well. Finally, this paper applied the ERIME algorithm to the path planning problem of mobile robots in complex environments. The experimental results demonstrate that the proposed algorithm efficiently plans the robot's path and finds a high-quality route.

Foundation Support

贵州大学横向项目(GYYZKY2022006JY)
贵州省科技计划资助项目(黔科合基础-ZK［2024］一般019)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.07.0202
Publish at: Application Research of Computers Printed Article, Vol. 42, 2025 No. 1
Section: Algorithm Research & Explore
Pages: 185-195
Serial Number: 1001-3695(2025)01-026-0185-11

Publish History

[2025-01-05] Printed Article

Cite This Article

谢灿坤, 于丽娅, 张涛, 等. 增强型霜冰优化算法的复杂环境下机器人路径规划 [J]. 计算机应用研究, 2025, 42 (1): 185-195. (Xie Cankun, Yu Liya, Zhang Tao, et al. Enhanced rime optimization algorithm for robot path planning in complex environments [J]. Application Research of Computers, 2025, 42 (1): 185-195. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    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.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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