A novel reinforcement learning based grey wolf optimizer algorithm for unmanned aerial vehicles (UAVs) path planning

Chengzhi Qu; Wendong Gai; Maiying Zhong; Jing Zhang

doi:10.1016/j.asoc.2020.106099

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A novel reinforcement learning based grey wolf optimizer algorithm for unmanned aerial vehicles (UAVs) path planning

Chengzhi Qu Wendong Gai Maiying Zhong Jing Zhang

Year: 2020 Journal: Applied Soft Computing Vol: 89 Pages: 106099-106099 Publisher: Elsevier BV

DOI: 10.1016/j.asoc.2020.106099

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Keywords:

Reinforcement learning Motion planning Computer science Path (computing) Algorithm Drone Range (aeronautics) Mathematical optimization Artificial intelligence Robot Mathematics Engineering Aerospace engineering

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Topics

Robotic Path Planning Algorithms

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

UAV Applications and Optimization

Physical Sciences → Engineering → Aerospace Engineering

Metaheuristic Optimization Algorithms Research

Physical Sciences → Computer Science → Artificial Intelligence

A novel reinforcement learning based grey wolf optimizer algorithm for unmanned aerial vehicles (UAVs) path planning

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Citation History

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