Chaotic Random Opposition-Based Learning and Cauchy Mutation Improved Moth-Flame Optimization Algorithm for Intelligent Route Planning of Multiple UAVs

Chaotic Random Opposition-Based Learning and Cauchy Mutation Improved Moth-Flame Optimization Algorithm for Intelligent Route Planning of Multiple UAVs

UAV route planning is the key issue for application of UAV in real-world scenarios. Compared with the traditional route planning methods, although the intelligent optimization algorithm has stronger applicability and optimization performance, it also has the problem of poor convergence accuracy and...

Full description

Bibliographic Details
Main Authors: Mingxi Ma, Jun Wu, Yue Shi, Longfei Yue, Cheng Yang, Xuyi Chen
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Route planning
moth-flame optimization algorithm
cauchy mutation
random opposition-based learning
chaotic mapping
Online Access:https://ieeexplore.ieee.org/document/9768832/

Similar Items

Similar Items