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SaCHBA_PDN: Modified honey badger algorithm with multi-strategy for UAV path planning by Gang Hu; Jingyu Zhong; Guo Wei is a Computer Science article available to read on EtoBox.

What is SaCHBA_PDN: Modified honey badger algorithm with multi-strategy for UAV path planning about?

The honey badger algorithm (HBA) is a meta-heuristic optimization algorithm that simulates the foraging behavior of honey badgers. Since the algorithm is prone to premature convergence when solving complex optimization problems. To improve the overall optimization performance of the basic HBA, this paper develops a modified HBA named SaCHBA\_PDN based on the Bernoulli shift map, piecewise optimal decreasing neighborhood, and horizontal crossing with strategy adaptation and applies it to solve the unmanned aerial vehicle (UAV) path planning problem. Firstly, the Bernoulli shift map is invoked to the HBA algorithm to change its initialization process, thus increasing the diversity of the population and speeding up the convergence speed. Secondly, a new piecewise optimal decreasing neighborhood strategy (PODNS) is proposed to address the shortcomings of unbalanced convergence of the traditional optimal neighborhood strategy. The proposed PODNS increases the optimization efficiency of HBA and enhances the local search ability to avoid falling into the local optimum. Finally, a novel horizontal crossing with strategy adaptation is introduced to balance exploration and exploitation and e

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Author

Gang Hu; Jingyu Zhong; Guo Wei

Publisher

Elsevier BV

Published

2023

Language

EN

Field

Computer Science (Physical Sciences)