Golden eagle optimizer with double learning strategies for 3D path planning of UAV in power inspection

DOI10.1016/j.matcom.2021.10.032OpenAlexW3214232139MaRDI QIDQ2060312

Jeng-Shyang Pan, Ji-Xiang Lv, Li-Jun Yan, Shao-Wei Weng, Jian-Kai Xue, Shu-Chuan Chu

Publication date: 13 December 2021

Published in: Mathematics and Computers in Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.matcom.2021.10.032

zbMATH Keywords

path planningunmanned aerial vehicleexploration-exploitationmirror reflection learningpersonal example learning

Mathematics Subject Classification ID

Computer science (68-XX) Operations research, mathematical programming (90-XX)

Related Items (3)

A multi-leader Harris hawks optimizer with adaptive mutation and its application for modeling of silicon content in liquid iron of blast furnace ⋮ A novel waypoint guidance and adaptive evolution strategy for unmanned aerial vehicle 3D route planning ⋮ IYDSE: ameliorated Young's double-slit experiment optimizer for applied mechanics and engineering

Cites Work

• Differential evolution -- a simple and efficient heuristic for global optimization over continuous spaces
• The arithmetic optimization algorithm
• UAV path planning using artificial potential field method updated by optimal control theory
• A New Metaheuristic Bat-Inspired Algorithm
• Flower Pollination Algorithm for Global Optimization

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