Chaotic Random Opposition-Based Learning and Cauchy Mutation Improved Moth-Flame Optimization Algorithm for Intelligent Route Planning of Multiple UAVs-Reference-Cited by-同舟云学术

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

Published:2022 Issue: Volume:10 Page:49385-49397
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Ma Mingxi¹^ORCID,Wu Jun¹,Shi Yue²^ORCID,Yue Longfei¹,Yang Cheng³,Chen Xuyi³

Affiliation:

1. Air Control and Navigation College, Air Force Engineering University, Xi’an, China

2. Equipment Management and UAV Engineering College, Air Force Engineering University, Xi’an, China

3. 93787 Army, Beijing, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09768832.pdf?arnumber=9768832

Reference32 articles.

1. UAV Cooperative Task Assignments for a SEAD Mission Using Genetic Algorithms

2. Route planning method design for UAV under radar ECM scenario

3. Enhancing particle swarm optimization using generalized opposition-based learning

4. An algorithm for planning collision-free paths among polyhedral obstacles

5. A note on two problems in connexion with graphs

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