PSAO: An enhanced Aquila Optimizer with particle swarm mechanism for engineering design and UAV path planning problems-Reference-Cited by-同舟云学术

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PSAO: An enhanced Aquila Optimizer with particle swarm mechanism for engineering design and UAV path planning problems

Published:2024-11 Issue: Volume:106 Page:474-504
ISSN:1110-0168
Container-title:Alexandria Engineering Journal
language:en
Short-container-title:Alexandria Engineering Journal

Author:

Wu Suqian,He Bitao,Zhang Jing,Chen Changshen,Yang Jing^ORCID

Publisher

Elsevier BV

Reference87 articles.

1. Simulated annealing-based dynamic step shuffled frog leaping algorithm: optimal performance design and feature selection;Liu;Neurocomputing,2022

2. Improved teaching-learning-based optimization algorithm with Cauchy mutation and chaotic operators;Bao;Appl. Intell.,2023

3. Intelligent task allocation for mobile crowdsensing with graph attention network and deep reinforcement learning;Xu;IEEE Trans. Netw. Sci. Eng.,2023

4. Manta ray foraging optimization based on mechanics game and progressive learning for multiple optimization problems;Zhu;Appl. Soft Comput.,2023

5. Hybridizing slime mould algorithm with simulated annealing algorithm: a hybridized statistical approach for numerical and engineering design problems;Ch;Complex Intell. Syst.,2023

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