IHSSAO: An Improved Hybrid Salp Swarm Algorithm and Aquila Optimizer for UAV Path Planning in Complex Terrain

IHSSAO: An Improved Hybrid Salp Swarm Algorithm and Aquila Optimizer for UAV Path Planning in Complex Terrain

In this paper, we propose a modified hybrid Salp Swarm Algorithm (SSA) and Aquila Optimizer (AO) named IHSSAO for UAV path planning in complex terrain. The primary logic of the proposed IHSSAO is to enhance the performance of AO by introducing the leader mechanism of SSA, tent chaotic map, and pinho...

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Bibliographic Details
Main Authors: Jinyan Yao, Yongbai Sha, Yanli Chen, Guoqing Zhang, Xinyu Hu, Guiqiang Bai, Jun Liu
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Applied Sciences
Subjects:
Salp Swarm Algorithm
Aquila Optimizer
tent chaotic map
pinhole imaging opposition-based learning
unmanned aerial vehicle (UAV)
path planning
Online Access:https://www.mdpi.com/2076-3417/12/11/5634

Internet

https://www.mdpi.com/2076-3417/12/11/5634

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