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