Performance Evaluation of Three Intelligent Optimization Algorithms for Obstacle Avoidance Path Planning-Reference-Cited by-同舟云学术

Performance Evaluation of Three Intelligent Optimization Algorithms for Obstacle Avoidance Path Planning

Published:2022 Issue: Volume: Page:60-69
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
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Author:

Chen Shumeng,Wang Chia-Hung,Dong Zhenyu,Zhao Qigen,Yang Qipeng,Wei Yi,Huang Guoshu

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-8430-2_6

Reference14 articles.

1. Wang, F., Wang, Z.W., Li, M.J.: Robot path planning based on improved particle swarm optimization. IEEE, pp. 887-891 (2021)

2. Li, Y.P., Wei, k., Wang, D.: The algebraic algorithm for solving the path planning problem of a weighted directed graph. Appl. Mech. Mater. 3468, 1648-1653 (2014)

3. Bahar, M.R.B., Ghiasi, A.R., Bahar, H.B.: Grid roadmap based ANN corridor search for collision free path planning. Scientia Iranica 19, 1850–1855 (2012)

4. Li, Y., Yuan, H.Y., Yu, J.Q., Zhang, G.W.: Overview of the application of genetic algorithms in optimization problems. Shandong University of Technology, pp. 242-244 (2019)

5. Hao, K., Zhao, J., Wang, B.B., Liu, Y.L., Wang, C.Q.: The application of an adaptive genetic algorithm based on collision detection in path planning of mobile robots. Computational Intelligence and Neuroscience, pp. 19-34 (2021)

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