Enhanced path planning algorithm via hybrid WOA-PSO for differential wheeled mobile robots
This study introduces an enhanced algorithm for global path planning of Differential Wheeled Mobile Robots (DWMRs) that merges the Whale Optimization Algorithm (WOA) and Particle Swarm Optimization (PSO). This hybrid strategy, termed HWPSO, is designed to leverage WOA's exploration strength wit...
Saved in:
| Main Authors: | Huda Talib Najm, Nur Syazreen Ahmad, Ahmed Sabah Al-Araji |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2024-12-01
|
| Series: | Systems Science & Control Engineering |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/21642583.2024.2334301 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Path Planning for Coal Mining Masonry Robots Combined With Trajectory Optimization
by: Xingyi Qian, et al.
Published: (2025-01-01) -
A Fast-Convergent Hyperbolic Tangent PSO Algorithm for UAVs Path Planning
by: Muhammad Haris, et al.
Published: (2024-01-01) -
An Optimization Method for Multi-Robot Automatic Welding Control Based on Particle Swarm Genetic Algorithm
by: Lu Chen, et al.
Published: (2024-10-01) -
AMBWO: An Augmented Multi-Strategy Beluga Whale Optimization for Numerical Optimization Problems
by: Guoping You, et al.
Published: (2024-11-01) -
Path Planning Optimization of Smart Vehicle With Fast Converging Distance-Dependent PSO Algorithm
by: Muhammad Haris, et al.
Published: (2024-01-01)