MISAO: A Multi-Strategy Improved Snow Ablation Optimizer for Unmanned Aerial Vehicle Path Planning

Cuiping Zhou, Shaobo Li (), Cankun Xie, Panliang Yuan and Xiangfu Long
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Cuiping Zhou: State Key Laboratory of Public Big Data, Guizhou University, Guiyang 550025, China
Shaobo Li: State Key Laboratory of Public Big Data, Guizhou University, Guiyang 550025, China
Cankun Xie: State Key Laboratory of Public Big Data, Guizhou University, Guiyang 550025, China
Panliang Yuan: State Key Laboratory of Public Big Data, Guizhou University, Guiyang 550025, China
Xiangfu Long: School of Mechanical Engineering, Guizhou University, Guiyang 550025, China

Mathematics, 2024, vol. 12, issue 18, 1-37

Abstract: The snow ablation optimizer (SAO) is a meta-heuristic technique used to seek the best solution for sophisticated problems. In response to the defects in the SAO algorithm, which has poor search efficiency and is prone to getting trapped in local optima, this article suggests a multi-strategy improved (MISAO) snow ablation optimizer. It is employed in the unmanned aerial vehicle (UAV) path planning issue. To begin with, the tent chaos and elite reverse learning initialization strategies are merged to extend the diversity of the population; secondly, a greedy selection method is deployed to retain superior alternative solutions for the upcoming iteration; then, the Harris hawk (HHO) strategy is introduced to enhance the exploitation capability, which prevents trapping in partial ideals; finally, the red-tailed hawk (RTH) is adopted to perform the global exploration, which, enhances global optimization capability. To comprehensively evaluate MISAO’s optimization capability, a battery of digital optimization investigations is executed using 23 test functions, and the results of the comparative analysis show that the suggested algorithm has high solving accuracy and convergence velocity. Finally, the effectiveness and feasibility of the optimization path of the MISAO algorithm are demonstrated in the UAV path planning project.

Keywords: snow ablation optimizer; tent chaos fusion elite reverse; multi-strategy improved snow ablation optimizer; UAV path planning (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2024
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