Metaheuristic algorithms in smart farming: An analytical survey
The techniques for solving complex optimization problems using nature inspired
metaheuristic algorithms are widely accepted. Nature inspired methods use nature derived …
metaheuristic algorithms are widely accepted. Nature inspired methods use nature derived …
Latency-energy joint optimization for task offloading and resource allocation in mec-assisted vehicular networks
Y Cong, K Xue, C Wang, W Sun… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In this article, we study the task offloading problem on mobile edge in vehicular networks.
Specifically, we take computational resource constraints into consideration, and aim to …
Specifically, we take computational resource constraints into consideration, and aim to …
LSFQPSO: quantum particle swarm optimization with optimal guided Lévy flight and straight flight for solving optimization problems
As a metaheuristic algorithm, particle swarm optimization (PSO) has two main
disadvantages. Firstly, it needs to set many parameters, which is not conducive to finding the …
disadvantages. Firstly, it needs to set many parameters, which is not conducive to finding the …
Mathematical modeling of resource allocation for cognitive radio sensor health monitoring system using coevolutionary quantum-behaved particle swarm optimization
M Tang, W Zhu, S Sun, Y Xin - Expert Systems with Applications, 2023 - Elsevier
Independent interactive medical applications cooperate closely with user systems through
independent information and data exchange, which realizes digital and intelligent …
independent information and data exchange, which realizes digital and intelligent …
A brain tumor image segmentation method based on quantum entanglement and wormhole behaved particle swarm optimization
T Zhang, J Zhang, T Xue, MH Rashid - Frontiers in medicine, 2022 - frontiersin.org
Purpose Although classical techniques for image segmentation may work well for some
images, they may perform poorly or not work at all for others. It often depends on the …
images, they may perform poorly or not work at all for others. It often depends on the …
A framework based on heterogeneous ensemble models for liquid steel temperature prediction in LF refining process
C Chen, N Wang, M Chen, X Yan - Applied Soft Computing, 2022 - Elsevier
The precise control of liquid steel temperature in the ladle furnace (LF) refining process is
vital for stabilizing and improving the quality of liquid steel, necessitating a capable …
vital for stabilizing and improving the quality of liquid steel, necessitating a capable …
Evidential reasoning and lightweight multi-source heterogeneous data fusion-driven fire danger level dynamic assessment technique
B Sun, T Guo - Process Safety and Environmental Protection, 2024 - Elsevier
Dynamic fire assessment under many uncertainties make danger level difficult to be
evaluated reasonably. This investigation aims to establish a fire danger level dynamic …
evaluated reasonably. This investigation aims to establish a fire danger level dynamic …
Robust low-rank graph multi-view clustering via Cauchy norm minimization
X Pu, B Pan, H Che - Mathematics, 2023 - mdpi.com
Graph-based multi-view clustering methods aim to explore the partition patterns by utilizing
a similarity graph. However, many existing methods construct a consensus similarity graph …
a similarity graph. However, many existing methods construct a consensus similarity graph …
Quantum entanglement inspired hard constraint handling for operations engineering optimization with an application to airport shift planning
Constraint handling, especially hard constraint handling, is a critical issue for discrete
constrained optimization problem solving in operations engineering. The performance of …
constrained optimization problem solving in operations engineering. The performance of …
An enhanced ant colony optimizer with Cauchy-Gaussian fusion and novel movement strategy for multi-threshold COVID-19 X-ray image segmentation
The novel coronavirus pneumonia (COVID-19) is a respiratory disease of great concern in
terms of its dissemination and severity, for which X-ray imaging-based diagnosis is one of …
terms of its dissemination and severity, for which X-ray imaging-based diagnosis is one of …