[HTML][HTML] Particle swarm optimization based on dimensional learning strategy
In traditional particle swarm optimization (PSO) algorithm, each particle updates its velocity
and position with a learning mechanism based on its personal best experience and the …
and position with a learning mechanism based on its personal best experience and the …
State of health estimation and remaining useful life prediction for lithium-ion batteries by improved particle swarm optimization-back propagation neural network
Y Ma, M Yao, H Liu, Z Tang - Journal of Energy Storage, 2022 - Elsevier
Abstract Accurate State of Health (SOH) estimation and Remaining Useful Life (RUL)
prediction play important roles in ensuring the safe operation of the batteries and minimizing …
prediction play important roles in ensuring the safe operation of the batteries and minimizing …
Self-adaptive cost weights-based support vector machine cost-sensitive ensemble for imbalanced data classification
X Tao, Q Li, W Guo, C Ren, C Li, R Liu, J Zou - Information Sciences, 2019 - Elsevier
Imbalanced data classification poses a major challenge in data mining community. Although
standard support vector machine can generally show relatively robust performance in …
standard support vector machine can generally show relatively robust performance in …
A parallel particle swarm optimization and enhanced sparrow search algorithm for unmanned aerial vehicle path planning
Z Wang, G Sun, K Zhou, L Zhu - Heliyon, 2023 - cell.com
Abstract Unmanned Aerial Vehicle (UAV) path planning is to plan an optimal path for its
flight in a specific environment. But it cannot get satisfactory results using ordinary …
flight in a specific environment. But it cannot get satisfactory results using ordinary …
A novel particle swarm optimization based on prey–predator relationship
Particle swarm optimization (PSO) is a widely used nature-inspired optimization algorithm
based on population and has strong robustness and good global astringency. In the mid …
based on population and has strong robustness and good global astringency. In the mid …
Develo** digital twin design for enhanced productivity of an automated anodizing industry and process prediction using hybrid deep neural network
Automation is beneficial when implemented in challenging environments requiring less
human effort or reducing human effort. Employee safety is a concern to increase productivity …
human effort or reducing human effort. Employee safety is a concern to increase productivity …
A modified multi swarm particle swarm optimization algorithm using an adaptive factor selection strategy
In the present study, we suggest a modified version of heterogeneous multi-swarm particle
swarm optimization (MSPSO) algorithm, that allows the amelioration of its performance by …
swarm optimization (MSPSO) algorithm, that allows the amelioration of its performance by …
Multiple scale self-adaptive cooperation mutation strategy-based particle swarm optimization
X Tao, W Guo, Q Li, C Ren, R Liu - Applied Soft Computing, 2020 - Elsevier
Abstract Particle Swarm Optimization (PSO) algorithm has lately received great attention due
to its powerful search capacity and simplicity in implementation. However, previous studies …
to its powerful search capacity and simplicity in implementation. However, previous studies …
Unsupervised and optimized thermal image quality enhancement and visual surveillance applications
Thermal images suffer from low-luminance issues under specific conditions, such as heat
radiation, distance-to-radiated objects, reflection angles. Low-luminance thermal images …
radiation, distance-to-radiated objects, reflection angles. Low-luminance thermal images …
Integrating a dimensional perturbation module into exponential distribution optimizer for solving optimization problems
P Shang, S Liu, H Ying, C Wang - Expert Systems with Applications, 2024 - Elsevier
Exponential distribution optimizer (EDO) is a recently proposed optimization technique that
is based on the exponential probability distribution model. As most swarm intelligence …
is based on the exponential probability distribution model. As most swarm intelligence …