Next Article in Journal
Wnt/β-Catenin Signaling Inhibits Osteogenic Differentiation in Human Periodontal Ligament Fibroblasts
Next Article in Special Issue
Platform Design and Preliminary Test Result of an Insect-like Flapping MAV with Direct Motor-Driven Resonant Wings Utilizing Extension Springs
Previous Article in Journal
A Biomimetic Method to Replicate the Natural Fluid Movements of Swimming Snakes to Design Aquatic Robots
Previous Article in Special Issue
Starling-Behavior-Inspired Flocking Control of Fixed-Wing Unmanned Aerial Vehicle Swarm in Complex Environments with Dynamic Obstacles
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Biomimetics
Volume 7
Issue 4
10.3390/biomimetics7040225
biomimetics-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Path Planning with Time Windows for Multiple UAVs Based on Gray Wolf Algorithm

by
Changchun Zhang
1,2,
Yifan Liu
1,2 and
Chunhe Hu
1,2,*
1
School of Technology, Beijing Forestry University, Beijing 100083, China
2
Research Center for Biodiversity Intelligent Monitoring, Beijing Forestry University, Beijing 100083, China
*
Author to whom correspondence should be addressed.
Biomimetics 2022, 7(4), 225; https://doi.org/10.3390/biomimetics7040225
Submission received: 30 September 2022 / Revised: 23 November 2022 / Accepted: 29 November 2022 / Published: 3 December 2022
(This article belongs to the Special Issue Bio-Inspired Flight Systems and Bionic Aerodynamics)
Browse Figures
Review Reports Versions Notes

Abstract

The Gray Wolf (GWO) algorithm aims to address the path planning problem of multiple UAVs, and the scene setting is mainly to avoid threats, meet the constraints of UAVs themselves and avoid obstacles between UAVs. The scene setting is relatively simple. To address such problems, the problem of time windows is considered in this paper, so that the UAV can arrive at the same time, and the Gray Wolf algorithm is used to optimize the problem. Finally, the experimental results verify that the proposed method can plan a safe flight path in the process of multi-UAV flight and reach the goal point at the same time. The mean error of flight time between UAVs of the GWO is 0.213, which is superior to PSO (0.382), AFO (0.315) and GA (0.825).
Keywords: multi-UAV; path planning; time windows; swarm intelligence; GWO multi-UAV; path planning; time windows; swarm intelligence; GWO

Share and Cite

MDPI and ACS Style

Zhang, C.; Liu, Y.; Hu, C. Path Planning with Time Windows for Multiple UAVs Based on Gray Wolf Algorithm. Biomimetics 2022, 7, 225. https://doi.org/10.3390/biomimetics7040225

AMA Style

Zhang C, Liu Y, Hu C. Path Planning with Time Windows for Multiple UAVs Based on Gray Wolf Algorithm. Biomimetics. 2022; 7(4):225. https://doi.org/10.3390/biomimetics7040225

Chicago/Turabian Style

Zhang, Changchun, Yifan Liu, and Chunhe Hu. 2022. "Path Planning with Time Windows for Multiple UAVs Based on Gray Wolf Algorithm" Biomimetics 7, no. 4: 225. https://doi.org/10.3390/biomimetics7040225

APA Style

Zhang, C., Liu, Y., & Hu, C. (2022). Path Planning with Time Windows for Multiple UAVs Based on Gray Wolf Algorithm. Biomimetics, 7(4), 225. https://doi.org/10.3390/biomimetics7040225

Article Metrics

Back to TopTop