A novel hybrid grey wolf optimizer algorithm for unmanned aerial vehicle (UAV) path planning-Reference-Cited by-同舟云学术

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A novel hybrid grey wolf optimizer algorithm for unmanned aerial vehicle (UAV) path planning

Published:2020-04 Issue: Volume:194 Page:105530
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Qu Chengzhi,Gai Wendong,Zhang Jing,Zhong Maiying

Funder

National Nature Science Foundation, China

Taishan Scholar Project of Shandong Province of China

SDUST Young Teachers Teaching Talent Training Plan

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference54 articles.

1. State-of-the-art intelligent flight control systems in unmanned aerial vehicles;Santoso;IEEE Trans. Autom. Sci. Eng.,2018

2. Bi-level programming based real-time path planning for unmanned aerial vehicles;Liu;Knowl.-Based Syst.,2013

3. Two approaches for path planning of unmanned aerial vehicles with avoidance zones;Sun;J. Guid. Control Dyn.,2017

4. Sequential convex programming for nonlinear optimal control problems in UAV path planning;Zhang;Aerosp. Sci. Technol.,2018

5. Selective maintenance scheduling under stochastic maintenance quality with multiple maintenance actions;Duan;Int. J. Prod. Res.,2018

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