Improved opposition-based particle swarm optimization algorithm for global optimization

N Ul Hassan, WH Bangyal, MS Ali Khan, K Nisar… - Symmetry, 2021 - mdpi.com
Particle Swarm Optimization (PSO) has been widely used to solve various types of
optimization problems. An efficient algorithm must have symmetry of information between …

Construction of energy minimized WSN using GA-SAMP-MWPSO and K-mean clustering algorithm with LDCF deployment strategy

A Banerjee, SK De, K Majumder, D Dash… - The Journal of …, 2022 - Springer
Energy is the most valuable resource in WSN. As the power storage capability of the tiny
WSN is very limited, efficient mechanisms for energy minimization should be implemented to …

A complex network-based firefly algorithm for numerical optimization and time series forecasting

Z Song, C Tang, S Song, Y Tang, J Li, J Ji - Applied Soft Computing, 2023 - Elsevier
The firefly algorithm (FA) has gained widespread attention and has been widely applied
because of its simple structure, few control parameters and easy implementation. As the …

A dynamic repository approach for small file management with fast access time on Hadoop cluster: hash based extended Hadoop archive

VS Sharma, A Afthanorhan, NC Barwar, S Singh… - IEEE …, 2022 - ieeexplore.ieee.org
Small file processing in Hadoop is one of the challenging task. The performance of the
Hadoop is quite good when dealing with large files because they require lesser metadata …

Multi-objective electrical power system design optimization using a modified bat algorithm

K Guerraiche, L Dekhici, E Chatelet, A Zeblah - Energies, 2021 - mdpi.com
The design of energy systems is very important in order to reduce operating costs and
guarantee the reliability of a system. This paper proposes a new algorithm to solve the …

How does the development of COVID-19 affect the public's engagement to fake news rebuttal microblogs?

Z Li, Y Zhao, X Du, S Wang, Y Ma, Y Zhang - Telematics and Informatics, 2023 - Elsevier
COVID-19 infodemics are intertwined with the dynamic development of the pandemic.
During infodemics, the challenges and difficulties are to reveal the dynamic evolution of …

The Detection of Unaccounted for Gas in Residential Natural Gas Customers Using Particle Swarm Optimization-based Neural Networks

A Soltanisarvestani, AA Safavi… - Energy Sources, Part B …, 2023 - Taylor & Francis
One of the most important issues related to natural gas is unaccounted for gas. Residential
customers constitute a significant percentage of unaccounted for gas. To estimate the …

Deep convolutional nets learning classification for artistic style transfer

R Dinesh Kumar, E Golden Julie… - Scientific …, 2022 - Wiley Online Library
Humans have mastered the skill of creativity for many decades. The process of replicating
this mechanism is introduced recently by using neural networks which replicate the …

A novel method for identifying geomechanical parameters of rock masses based on a PSO and improved GPR hybrid algorithm

H Yan, K Liu, C Xu, W Zheng - Scientific Reports, 2022 - nature.com
In view of the shortcomings of existing artificial neural network (ANN) and support vector
regression (SVR) in the application of three-dimensional displacement back analysis …

A heterogeneous IOT node authentication scheme based on hybrid blockchain and trust value

S Zhang, Y Cao, Z Ning, F Xue, D Cao… - KSII Transactions on …, 2020 - koreascience.kr
Node identity authentication is an essential means to ensure the security of the Internet of
Things. Existing blockchain-based IoT node authentication schemes have many problems. A …