An Improved Method of Particle Swarm Optimization for Path Planning of Mobile Robot
Joint Authors
He, Jingjing
Wu, Dandan
Liping, Ma
Li, Xun
Bashir, Muhammad
Source
Journal of Control Science and Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-05-25
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Electronic engineering
Information Technology and Computer Science
Abstract EN
The existing particle swarm optimization (PSO) algorithm has the disadvantages of application limitations and slow convergence speed when solving the problem of mobile robot path planning.
This paper proposes an improved PSO integration scheme based on improved details, which integrates uniform distribution, exponential attenuation inertia weight, cubic spline interpolation function, and learning factor of enhanced control.
Compared with other standard functions, our improved PSO (IPSO) can achieve better optimal results with less number of iteration steps than the different four path planning algorithms developed in the existing literature.
IPSO makes the optimal path length with less than 20 iteration steps and reduces the path length and simulation time by 2.8% and 1.1 seconds, respectively.
American Psychological Association (APA)
Li, Xun& Wu, Dandan& He, Jingjing& Bashir, Muhammad& Liping, Ma. 2020. An Improved Method of Particle Swarm Optimization for Path Planning of Mobile Robot. Journal of Control Science and Engineering،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1182675
Modern Language Association (MLA)
Li, Xun…[et al.]. An Improved Method of Particle Swarm Optimization for Path Planning of Mobile Robot. Journal of Control Science and Engineering No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1182675
American Medical Association (AMA)
Li, Xun& Wu, Dandan& He, Jingjing& Bashir, Muhammad& Liping, Ma. An Improved Method of Particle Swarm Optimization for Path Planning of Mobile Robot. Journal of Control Science and Engineering. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1182675
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1182675