Path Planning of Mobile Robot Based on Hybrid Multi-Objective Bare Bones Particle Swarm Optimization With Differential Evolution
An improved path planning for mobile robots is proposed based on the hybrid multi-objective bare-bones particle swarm optimization with differential evolution. The mathematical model for robot path planning is firstly devised as a tri-objective optimization with three indices, i.e., the path length,...
Main Authors: | Jian-Hua Zhang, Yong Zhang, Yong Zhou |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2018-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8436432/ |
Similar Items
-
Multi-Robot Path Planning Based on Multi-Objective Particle Swarm Optimization
by: Sahib Thabit, et al.
Published: (2019-01-01) -
The Cartesian Path Planning of Free- Floating Space Robot using Particle Swarm Optimization
by: Yangsheng Xu, et al.
Published: (2008-11-01) -
Path Planning for Mount Robot Based on Improved Particle Swarm Optimization Algorithm
by: Xudong Li, et al.
Published: (2023-07-01) -
Failure-Robot Path Complementation for Robot Swarm Mission Planning
by: Meng-Tse Lee, et al.
Published: (2019-09-01) -
An Adaptive Multi-Objective Particle Swarm Optimization Algorithm for Multi-Robot Path Planning
by: Nizar Hadi Abbas, Dr, et al.
Published: (2016-07-01)