Optimization methods applied to motion planning of unmanned aerial vehicles: A review

A Israr, ZA Ali, EH Alkhammash, JJ Jussila - Drones, 2022 - mdpi.com
A system that can fly off and touches down to execute particular tasks is a flying robot.
Nowadays, these flying robots are capable of flying without human control and make …

SaCHBA_PDN: Modified honey badger algorithm with multi-strategy for UAV path planning

G Hu, J Zhong, G Wei - Expert Systems with Applications, 2023 - Elsevier
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 …

Binary aquila optimizer for selecting effective features from medical data: A COVID-19 case study

MH Nadimi-Shahraki, S Taghian, S Mirjalili… - Mathematics, 2022 - mdpi.com
Medical technological advancements have led to the creation of various large datasets with
numerous attributes. The presence of redundant and irrelevant features in datasets …

A novel reinforcement learning based tuna swarm optimization algorithm for autonomous underwater vehicle path planning

Z Yan, J Yan, Y Wu, S Cai, H Wang - Mathematics and Computers in …, 2023 - Elsevier
Path planning technology is an important guarantee for the safe navigation of autonomous
underwater vehicle (AUV) in water, and it is also an important indicator of the intelligence of …

Vision-based flying obstacle detection for avoiding midair collisions: A systematic review

D Vera-Yanez, A Pereira, N Rodrigues, JP Molina… - Journal of …, 2023 - mdpi.com
This paper presents a systematic review of articles on computer-vision-based flying obstacle
detection with a focus on midair collision avoidance. Publications from the beginning until …

An improved group teaching optimization algorithm based on local search and chaotic map for feature selection in high-dimensional data

H Khosravi, B Amiri, N Yazdanjue… - Expert Systems with …, 2022 - Elsevier
The current study proposes a novel binary group teaching optimization algorithm with local
search and chaos mapping (BGTOALC) as a wrapper-based feature selection method to …

Multi-strategy assisted chaotic coot-inspired optimization algorithm for medical feature selection: A cervical cancer behavior risk study

G Hu, J Zhong, X Wang, G Wei - Computers in Biology and Medicine, 2022 - Elsevier
Real-world optimization problems require some advanced metaheuristic algorithms, which
functionally sustain a variety of solutions and technically explore the tracking space to find …

A double-layer coding model with a rotation-based particle swarm algorithm for unmanned combat aerial vehicle path planning

Y Jia, L Qu, X Li - Engineering Applications of Artificial Intelligence, 2022 - Elsevier
Unmanned combat aerial vehicle (UCAV) technology has to address many challenges in
complex battlefield environments. To produce a safe and low-energy flying path, a UCAV …

Multi-product disassembly line balancing optimization method for high disassembly profit and low energy consumption with noise pollution constraints

P Liang, Y Fu, K Gao - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
Remanufacturing attains much attention from both industrial and academic sectors due to its
beneficial roles in energy conservation and environment protection, where disassembly is a …

Cooperative survey of seabed ROIs using multiple USVs with coverage path planning

S Yang, J Huang, X Xiang, J Li, Y Liu - Ocean Engineering, 2023 - Elsevier
A fine-grained offshore seabed map is critical to the site selection and construction for
offshore wind farms, which can be obtained by the cooperative survey with multiple …